Fifth commit
This commit is contained in:
lan daiqing
parent
3d78b6edb3
commit
493dc7062a
@ -4,13 +4,17 @@
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# @Email : derighoid@gmail.com
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# @File : Blue_noise_sampling.py
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# @Software: PyCharm
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from pathlib import Path
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import matplotlib
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import matplotlib.pyplot as plt
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import numpy as np
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from PIL import Image
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'''
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最近邻插值法：
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在放大图像时，多出来的像素点由最近邻的像素点构成
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计算新图形（放大后或缩小后）的坐标点像素值对应于原图像中哪一个像素点填充的。
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srcX=newX*(srcW/newW)
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srcY=newY*(srcH/newH)
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src是原图，dst是新图，原来的图像宽度/高度除以新图像的宽度/高度可以得到缩放比例，
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@ -57,3 +61,6 @@ def showImage(picPath):
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plt.imshow(image1)
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plt.show()
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return image1
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75
GUI.py
75
GUI.py
@ -7,7 +7,6 @@
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import os
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import tkinter
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import tkinter.filedialog
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import tkinter.messagebox # 弹窗库
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import PIL
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import numpy as np
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@ -15,16 +14,18 @@ import requests
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from PIL import Image, ImageTk
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root = tkinter.Tk()
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root.title = 'new'
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root.geometry('640x500')
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root.title("基于Python的图像处理")
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root.geometry('640x500')
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root.resizable(width=0, height=0)
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# 文件选择
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def choose_fiel():
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selectFileName = tkinter.filedialog.askopenfilename(title='选择文件') # 选择文件
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e.set(selectFileName)
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#文件选择标签
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label1 = tkinter.Label(root, text="文件路径:")
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label1.place(x=40, y=0)
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@ -37,12 +38,13 @@ lable2.place(x=40, y=30)
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# 设置输入框
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entry = tkinter.Entry(root, width=60)
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#设置默认值
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entry.insert(0,
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"https://tse2-mm.cn.bing.net/th/id/OIP-C.fT7uKiT7V7YO2PPINFeOdQHaJ4?w=186&h=248&c=7&r=0&o=5&dpr=1.25&pid=1.7")
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entry.place(x=100, y=30)
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# 选择文件按钮
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submit_button = tkinter.Button(root, text="选择文件", command=choose_fiel)
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submit_button = tkinter.Button(root, text="选择文件", command=choose_fiel,activeforeground="red")
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submit_button.place(x=520, y=0)
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@ -68,7 +70,7 @@ def pictureCrawl(url):
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# 爬取按钮
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imgCrawling_button = tkinter.Button(root, text="开始爬取", command=lambda: pictureCrawl(entry.get()))
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imgCrawling_button = tkinter.Button(root, text="开始爬取", command=lambda: pictureCrawl(entry.get()),activeforeground="red")
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imgCrawling_button.place(x=520, y=30)
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@ -83,7 +85,7 @@ def grayPic(e_entry):
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# 灰色图按钮
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grayPic_button = tkinter.Button(root, text="灰色图", command=lambda: grayPic(e_entry))
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grayPic_button = tkinter.Button(root, text="灰色图", command=lambda: grayPic(e_entry),activeforeground="red")
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grayPic_button.place(x=110, y=75)
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@ -100,17 +102,15 @@ def mirrorSymmetry(e_entry):
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# 镜面按钮
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mirrorSymmetry_button = tkinter.Button(root, text="镜面对称", command=lambda: mirrorSymmetry(e_entry))
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mirrorSymmetry_button = tkinter.Button(root, text="镜面对称", command=lambda: mirrorSymmetry(e_entry),activeforeground="red")
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mirrorSymmetry_button.place(x=170, y=75)
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# 右旋转
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def verticalSummetry_right(e_tery):
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img = Image.open(e_entry.get())
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img = np.array(img)
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img1 = img.swapaxes(1, 0)
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img2 = img1[:, ::-1]
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img2 = Image.fromarray(img2)
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img2 = img.transpose(Image.ROTATE_270)
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pic = ImageTk.PhotoImage(img2)
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img = tkinter.Label(image=pic)
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@ -119,19 +119,15 @@ def verticalSummetry_right(e_tery):
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# 右旋转按钮
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verticalSummetry_right_button = tkinter.Button(root, text="右旋转", command=lambda: verticalSummetry_right(e_entry))
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verticalSummetry_right_button = tkinter.Button(root, text="右旋转", command=lambda: verticalSummetry_right(e_entry),activeforeground="red")
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verticalSummetry_right_button.place(x=240, y=75)
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# 左旋转
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def verticalSummetry_lift(e_entry):
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img = Image.open(e_entry.get())
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img = np.array(img)
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img1 = img.transpose(1, 0, 2) # x,y轴转置
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img2 = img1[::-1]
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img2 = Image.fromarray(img2)
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img2 = img.transpose(Image.ROTATE_90)
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pic = ImageTk.PhotoImage(img2)
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img = tkinter.Label(image=pic)
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img.image = pic
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@ -139,7 +135,7 @@ def verticalSummetry_lift(e_entry):
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# 左旋转按钮
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verticalSummetry_lift_button = tkinter.Button(root, text="左旋转", command=lambda: verticalSummetry_lift(e_entry))
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verticalSummetry_lift_button = tkinter.Button(root, text="左旋转", command=lambda: verticalSummetry_lift(e_entry),activeforeground="red")
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verticalSummetry_lift_button.place(x=300, y=75)
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@ -155,7 +151,7 @@ def pixInversion(e_entry):
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# 像素反转
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pixInversion_button = tkinter.Button(root, text="像素反转", command=lambda: pixInversion(e_entry))
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pixInversion_button = tkinter.Button(root, text="像素反转", command=lambda: pixInversion(e_entry),activeforeground="red")
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pixInversion_button.place(x=360, y=75)
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@ -171,7 +167,7 @@ def redImage(e_entry):
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# 红色图按钮
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red_button = tkinter.Button(root, text="红色图", command=lambda: redImage(e_entry))
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red_button = tkinter.Button(root, text="红色图", command=lambda: redImage(e_entry),activeforeground="red")
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red_button.place(x=430, y=75)
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@ -187,10 +183,11 @@ def blueImage(e_entry):
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# 蓝色图按钮
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blue_button = tkinter.Button(root, text="蓝色图", command=lambda: blueImage(e_entry))
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blue_button = tkinter.Button(root, text="蓝色图", command=lambda: blueImage(e_entry),activeforeground="red")
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blue_button.place(x=490, y=75)
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#绿色图函数
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# 绿色图函数
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def greenImage(e_entry):
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img = Image.open(e_entry.get())
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img = np.array(img)
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@ -203,7 +200,7 @@ def greenImage(e_entry):
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# 绿色按钮
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green_button = tkinter.Button(root, text='绿色图', command=lambda: greenImage(e_entry))
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green_button = tkinter.Button(root, text='绿色图', command=lambda: greenImage(e_entry),activeforeground="red")
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green_button.place(x=550, y=75)
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@ -221,14 +218,14 @@ def imageMix(e_entry):
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# 图像混合按钮
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imageMix_button = tkinter.Button(root, text="图像混合", command=lambda: imageMix(e_entry))
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imageMix_button = tkinter.Button(root, text="图像混合", command=lambda: imageMix(e_entry),activeforeground="red")
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imageMix_button.place(x=40, y=105)
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# 图像剪切函数
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def imageCut(e_entry):
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def imageCut(e_entry,Entrybutton): # 一个Entrybutton代表四个值(20, 10, 190, 190)
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img1 = Image.open(e_entry.get())
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part = (20, 10, 190, 190)
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part = (eval(Entrybutton.get()))
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img2 = img1.crop(part)
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img3 = ImageTk.PhotoImage(img2)
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img = tkinter.Label(image=img3)
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@ -237,13 +234,13 @@ def imageCut(e_entry):
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# 剪切按钮
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cut_button = tkinter.Button(root, text="剪 切", command=lambda: imageCut(e_entry))
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cut_button = tkinter.Button(root, text="剪 切", command=lambda: imageCut(e_entry,Entrybutton),activeforeground="red")
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cut_button.place(x=110, y=105)
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# 部分替换函数
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def imgReplace(e_entry):
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part = (10, 50, 250, 250)
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def imgReplace(e_entry,Entrybutton): # Entrybutton 代表4个值(10, 50, 250, 250)
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part = (eval(Entrybutton.get()))
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img1 = Image.open(e_entry.get())
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img2 = Image.open("./data/picture.png")
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img3 = img2.crop(part)
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@ -256,23 +253,24 @@ def imgReplace(e_entry):
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# 部分替换按钮
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imgReplace_button = tkinter.Button(root, text="部分替换", command=lambda: imgReplace(e_entry))
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imgReplace_button = tkinter.Button(root, text="部分替换", command=lambda: imgReplace(e_entry,Entrybutton),activeforeground="red")
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imgReplace_button.place(x=170, y=105)
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# 输入框
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Entrybutton = tkinter.Entry(root, width=15)
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Entrybutton.insert(0, 2)
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Entrybutton.insert(0, 0.5)
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Entrybutton.place(x=490, y=110)
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lab5 = tkinter.Label(root, text="Gamma:")
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lab5.place(x=430, y=110)
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lab6=tkinter.Label(root,text=":<-other")
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lab6.place(x=585,y=110)
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# 伽马矫正函数(默认1/1,5)
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def gammaCorrect(e_entry, Entrybutton):
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img = Image.open(e_entry.get())
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img = np.array(img)
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img1 = np.power(img / float(np.max(img)), int(Entrybutton.get()))
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img1 = np.power(img / float(np.max(img)), float(Entrybutton.get()))
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img2 = Image.fromarray(np.uint8(img1 * 255))
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img3 = ImageTk.PhotoImage(img2)
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img = tkinter.Label(image=img3)
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@ -281,7 +279,7 @@ def gammaCorrect(e_entry, Entrybutton):
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# 伽马矫正按钮
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gammaCorrect_button = tkinter.Button(root, text="伽马矫正", command=lambda: gammaCorrect(e_entry, Entrybutton))
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gammaCorrect_button = tkinter.Button(root, text="伽马矫正", command=lambda: gammaCorrect(e_entry, Entrybutton),activeforeground="red")
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gammaCorrect_button.place(x=240, y=105)
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@ -308,7 +306,7 @@ def decrease_color(e_entry):
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# 减色按钮
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decrease_color_button = tkinter.Button(root, text="减色", command=lambda: decrease_color(e_entry))
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decrease_color_button = tkinter.Button(root, text="减色", command=lambda: decrease_color(e_entry),activeforeground="red")
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decrease_color_button.place(x=310, y=105)
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@ -338,7 +336,7 @@ def showImage(e_entry):
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# 采样按钮
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picSampl_button = tkinter.Button(root, text='图片采样', command=lambda: showImage(e_entry))
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picSampl_button = tkinter.Button(root, text='图片采样', command=lambda: showImage(e_entry),activeforeground="red")
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picSampl_button.place(x=360, y=105)
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@ -352,8 +350,9 @@ def showImg(e_entry):
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img.place(x=50, y=150)
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# 图片展示按钮
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submit_button = tkinter.Button(root, text="显示原图", command=lambda: showImg(e_entry))
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submit_button = tkinter.Button(root, text="显示原图", command=lambda: showImg(e_entry),activeforeground="red")
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submit_button.place(x=40, y=75)
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lable3 = tkinter.Label(root, text='原图', bg='red')
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@ -28,7 +28,7 @@ def imgCut(path, left, upper, right, lower):
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# print(img.size) Picture Size
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part = (left, upper, right, lower) # 设置剪切的大小
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# 剪切函数的调用
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# 函数的调用
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cut_img = img.crop(part)
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# 展示图片
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@ -16,7 +16,7 @@ alpha：透明度 ，取值范围为 0 到 1，当取值为 0 时，输出图像
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则是 image2 的拷贝，只有当取值为 0.5 时，才为两个图像的中合。因此改值的大小决定了两个图像的混合程度'''
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# 阿尔法图像混合
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# 图像混合
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def imageMix(imagePath1, imagePath2):
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'''
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@ -51,8 +51,11 @@ class modfifyImage():
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x, y = plt.subplots(2, 2)
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x.set_size_inches(10, 10)
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y[0, 0].imshow(self.imageMatrix())
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y[0, 1].imshow(red)
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y[1, 0].imshow(green)
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y[1, 1].imshow(blue)
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# 图片保存
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Image.fromarray(np.uint8(red)).save(root + 'picture1' + '.jpg')
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@ -42,26 +42,25 @@ class directionChanges():
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# 图像水平镜面对称
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def mirrorSymmetry(self):
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plt6 = self.imageMatrix()[::-1]
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# plt6 = self.imageMatrix()[::-1]
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plt6=self.imageRead().transpose(Image.ROTATE_180)
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plt.imshow(plt6)
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plt.show()
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return plt6
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# 垂直对称(右旋转)
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def verticalSummetry_right(self):
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plt5 = self.imageMatrix().swapaxes(1, 0)
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plt.imshow(plt5[:, ::-1])
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plt5=self.imageRead().transpose(Image.ROTATE_270)
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plt.imshow(plt5)
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plt.show()
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return plt5
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# 垂直镜面(左旋转)
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# transpose函数的作用就是调换数组的行列值的索引值，类似于求矩阵的转置
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def verticalSummetry_lift(self):
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plt7 = self.imageMatrix().transpose(1, 0, 2) # x,y轴转置
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plt.imshow(plt7[::-1])
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plt7 = self.imageRead().transpose(Image.ROTATE_90)
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plt.imshow(plt7)
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plt.show()
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return plt7
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# 保存图片
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def img_Save(self):
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root = "E:\\桌面\\Python_Picture_Analysis\\data\\" # 图片保存地址
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@ -1,36 +0,0 @@
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# -*- coding: utf-8 -*-
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# @Time : 2022-7-24 0024 11:18
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# @Author : Qing
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# @Email : derighoid@gmail.com
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# @File : Picture _Crawling.py
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# @Software: PyCharm
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# 导入库
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import os
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import requests
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# path = '(?<=<img(?:.*)\s+src=")[^"]+(\.png|jpg|jpeg)'
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# 定义函数
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def pictureCrawl(url):
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# 文件保存地址
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root = "E://桌面//Python_Picture_Analysis//data//"
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# 文件的保存地址以及格式
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path = root + url.split('/')[-3] + '.png'
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try:
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if not os.path.exists(root): # 判断是否存在文件夹
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os.mkdir(root)
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if not os.path.exists(path): # 判断是否存在该文件
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r = requests.get(url)
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# 文件写入
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with open(path, 'wb') as fp:
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fp.write(r.content)
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print("OK")
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else:
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print("File already exists")
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except:
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print("Crawl successful")
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# url = "https://tse2-mm.cn.bing.net/th/id/OIP-C.fT7uKiT7V7YO2PPINFeOdQHaJ4?w=186&h=248&c=7&r=0&o=5&dpr=1.25&pid=1.7"
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# pictureCrawl(url)
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@ -7,17 +7,13 @@
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# 导入库
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import os.path
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import matplotlib.pyplot as plt
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import numpy as np
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from PIL import Image
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# 建立图片读取类
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class pictureRead(object):
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def __init__(self, filePath):
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self.filePath = filePath
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# 图片读取
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def fileRead(self):
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if self.filePath == " ":
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@ -25,8 +21,7 @@ class pictureRead(object):
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else:
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face = Image.open(self.filePath)
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return face
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# 图片转矩阵
|
||||
# 图片数字化
|
||||
def imageMatrix(self):
|
||||
im = np.array(self.fileRead())
|
||||
return im
|
||||
@ -53,9 +48,11 @@ class pictureRead(object):
|
||||
plt.subplot(121)
|
||||
# 原图片显示
|
||||
plt.imshow(self.imageMatrix())
|
||||
plt.title("Original")
|
||||
plt.subplot(122)
|
||||
# 灰色图片显示
|
||||
plt.imshow(self.imageGrey())
|
||||
plt.title('Gray')
|
||||
plt.show()
|
||||
|
||||
# 图片保存
|
||||
|
||||
@ -88,21 +88,21 @@ class ReduceColor(pictureRead):
|
||||
|
||||
#定义画布
|
||||
plt.figure(figsize=(16,8))
|
||||
plt.subplot(141)
|
||||
plt.subplot(131)
|
||||
plt.imshow(img)
|
||||
plt.title("origin")
|
||||
|
||||
plt.subplot(142)
|
||||
plt.subplot(132)
|
||||
plt.imshow(newImg)
|
||||
plt.title("1")
|
||||
|
||||
plt.subplot(143)
|
||||
plt.subplot(133)
|
||||
plt.imshow(newImg2)
|
||||
plt.title("2")
|
||||
|
||||
plt.subplot(144)
|
||||
plt.imshow(newImg3)
|
||||
plt.title("3")
|
||||
# plt.subplot(144)
|
||||
# plt.imshow(newImg3)
|
||||
# plt.title("3")
|
||||
plt.show()
|
||||
return newImg,newImg2,newImg3
|
||||
|
||||
|
||||
50
main.py
50
main.py
@ -17,43 +17,45 @@ if __name__ == '__main__':
|
||||
# 图片读取
|
||||
picture_read = pictureRead('E:\\桌面\\Python_Picture_Analysis\\data\\th.png')
|
||||
#图片展示
|
||||
picture_read.plt_image()
|
||||
# picture_read.plt_image()
|
||||
|
||||
|
||||
# 图片修改
|
||||
modif_image = modfifyImage('E:\\桌面\\Python_Picture_Analysis\\data\\th.png')
|
||||
# print(modif_image.img_RGB())
|
||||
# modif_image.img_RGB()
|
||||
# modif_image.pixInversion()
|
||||
|
||||
# 图片方向修改
|
||||
direction_Changes = directionChanges('E:\\桌面\\Python_Picture_Analysis\\data\\th.png')
|
||||
# direction_Changes.verticalSummetry_right()
|
||||
# direction_Changes.verticalSummetry_lift()
|
||||
# direction_Changes.mirrorSymmetry()
|
||||
# direction_Changes.imageRepetition()
|
||||
# direction_Changes.img_Save()
|
||||
# direction_Changes.verticalSummetry_right() # 右旋转
|
||||
# direction_Changes.verticalSummetry_lift() # 左旋转
|
||||
# direction_Changes.mirrorSymmetry() # 镜像对称
|
||||
# direction_Changes.imageRepetition() # 图像重复
|
||||
# # direction_Changes.img_Save() # 图像保存
|
||||
|
||||
# 减色算法
|
||||
reduce_color = ReduceColor('E:\\桌面\\Python_Picture_Analysis\\data\\th.png')
|
||||
# reduce_color.decrease_color()
|
||||
# reduce_color.img_Save()
|
||||
# reduce_color.imgBinarization()
|
||||
# reduce_color.decrease_color() # 减色算法
|
||||
# # reduce_color.img_Save()
|
||||
# reduce_color.imgBinarization() #图像二值化
|
||||
|
||||
|
||||
# Gamma矫正
|
||||
# gammaCorrect("./data/th.png", 1.5)
|
||||
|
||||
# 图片截取
|
||||
# left, upper, right, lower
|
||||
imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\th.png',20,10,190,190)
|
||||
imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\picture.png',30,70,230,230)
|
||||
|
||||
# 图片替换
|
||||
imgReplace('E:\\桌面\\Python_Picture_Analysis\\data\\th.png', "E:\\桌面\\Python_Picture_Analysis\\data\\picture.png",
|
||||
10, 50, 250, 250)
|
||||
|
||||
# 阿尔法混合
|
||||
imageMix('E:\\桌面\\Python_Picture_Analysis\\data\\th.png','E:\\桌面\\Python_Picture_Analysis\\data\\picture.png')
|
||||
|
||||
#蓝噪
|
||||
#
|
||||
# # 图片截取
|
||||
# # left, upper, right, lower
|
||||
# imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\th.png',20,10,190,190)
|
||||
# # imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\picture.png',30,70,230,230)
|
||||
#
|
||||
# # 图片替换
|
||||
# imgReplace('E:\\桌面\\Python_Picture_Analysis\\data\\th.png', "E:\\桌面\\Python_Picture_Analysis\\data\\picture.png",
|
||||
# 10, 50, 250, 250)
|
||||
#
|
||||
# # 阿尔法混合
|
||||
# imageMix('E:\\桌面\\Python_Picture_Analysis\\data\\th.png','E:\\桌面\\Python_Picture_Analysis\\data\\picture.png')
|
||||
#
|
||||
# #采样
|
||||
showImage("./data/th.png")
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user