Fifth commit

Blue_noise_sampling.py

@@ -4,13 +4,17 @@
 # @Email   : derighoid@gmail.com
 # @File    : Blue_noise_sampling.py
 # @Software: PyCharm
+from pathlib import Path
 
-
+import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
 from PIL import Image
 
 '''
+最近邻插值法：
+在放大图像时，多出来的像素点由最近邻的像素点构成
+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。
 srcX=newX*(srcW/newW)
 srcY=newY*(srcH/newH)
 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，
@@ -57,3 +61,6 @@ def showImage(picPath):
     plt.imshow(image1)
     plt.show()
     return image1
+
+
+

GUI.py

@@ -7,7 +7,6 @@
 import os
 import tkinter
 import tkinter.filedialog
-import tkinter.messagebox  # 弹窗库
 
 import PIL
 import numpy as np
@@ -15,16 +14,18 @@ import requests
 from PIL import Image, ImageTk
 
 root = tkinter.Tk()
-root.title = 'new'
-root.geometry('640x500')
 
+root.title("基于Python的图像处理")
+
+root.geometry('640x500')
+root.resizable(width=0, height=0)
 
 # 文件选择
 def choose_fiel():
     selectFileName = tkinter.filedialog.askopenfilename(title='选择文件')  # 选择文件
     e.set(selectFileName)
 
-
+#文件选择标签
 label1 = tkinter.Label(root, text="文件路径:")
 label1.place(x=40, y=0)
 
@@ -37,12 +38,13 @@ lable2.place(x=40, y=30)
 
 # 设置输入框
 entry = tkinter.Entry(root, width=60)
+#设置默认值
 entry.insert(0,
              "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")
 entry.place(x=100, y=30)
 
 # 选择文件按钮
-submit_button = tkinter.Button(root, text="选择文件", command=choose_fiel)
+submit_button = tkinter.Button(root, text="选择文件", command=choose_fiel,activeforeground="red")
 submit_button.place(x=520, y=0)
 
 
@@ -68,7 +70,7 @@ def pictureCrawl(url):
 
 
 # 爬取按钮
-imgCrawling_button = tkinter.Button(root, text="开始爬取", command=lambda: pictureCrawl(entry.get()))
+imgCrawling_button = tkinter.Button(root, text="开始爬取", command=lambda: pictureCrawl(entry.get()),activeforeground="red")
 imgCrawling_button.place(x=520, y=30)
 
 
@@ -83,7 +85,7 @@ def grayPic(e_entry):
 
 
 # 灰色图按钮
-grayPic_button = tkinter.Button(root, text="灰色图", command=lambda: grayPic(e_entry))
+grayPic_button = tkinter.Button(root, text="灰色图", command=lambda: grayPic(e_entry),activeforeground="red")
 grayPic_button.place(x=110, y=75)
 
 
@@ -100,17 +102,15 @@ def mirrorSymmetry(e_entry):
 
 
 # 镜面按钮
-mirrorSymmetry_button = tkinter.Button(root, text="镜面对称", command=lambda: mirrorSymmetry(e_entry))
+mirrorSymmetry_button = tkinter.Button(root, text="镜面对称", command=lambda: mirrorSymmetry(e_entry),activeforeground="red")
 mirrorSymmetry_button.place(x=170, y=75)
 
 
 # 右旋转
 def verticalSummetry_right(e_tery):
     img = Image.open(e_entry.get())
-    img = np.array(img)
+
-    img1 = img.swapaxes(1, 0)
+    img2 = img.transpose(Image.ROTATE_270)
-    img2 = img1[:, ::-1]
-    img2 = Image.fromarray(img2)
 
     pic = ImageTk.PhotoImage(img2)
     img = tkinter.Label(image=pic)
@@ -119,19 +119,15 @@ def verticalSummetry_right(e_tery):
 
 
 # 右旋转按钮
-verticalSummetry_right_button = tkinter.Button(root, text="右旋转", command=lambda: verticalSummetry_right(e_entry))
+verticalSummetry_right_button = tkinter.Button(root, text="右旋转", command=lambda: verticalSummetry_right(e_entry),activeforeground="red")
 verticalSummetry_right_button.place(x=240, y=75)
 
 
 # 左旋转
 def verticalSummetry_lift(e_entry):
     img = Image.open(e_entry.get())
-    img = np.array(img)
-    img1 = img.transpose(1, 0, 2)  # x,y轴转置
-    img2 = img1[::-1]
-
-    img2 = Image.fromarray(img2)
 
+    img2 = img.transpose(Image.ROTATE_90)
     pic = ImageTk.PhotoImage(img2)
     img = tkinter.Label(image=pic)
     img.image = pic
@@ -139,7 +135,7 @@ def verticalSummetry_lift(e_entry):
 
 
 # 左旋转按钮
-verticalSummetry_lift_button = tkinter.Button(root, text="左旋转", command=lambda: verticalSummetry_lift(e_entry))
+verticalSummetry_lift_button = tkinter.Button(root, text="左旋转", command=lambda: verticalSummetry_lift(e_entry),activeforeground="red")
 verticalSummetry_lift_button.place(x=300, y=75)
 
 
@@ -155,7 +151,7 @@ def pixInversion(e_entry):
 
 
 # 像素反转
-pixInversion_button = tkinter.Button(root, text="像素反转", command=lambda: pixInversion(e_entry))
+pixInversion_button = tkinter.Button(root, text="像素反转", command=lambda: pixInversion(e_entry),activeforeground="red")
 pixInversion_button.place(x=360, y=75)
 
 
@@ -171,7 +167,7 @@ def redImage(e_entry):
 
 
 # 红色图按钮
-red_button = tkinter.Button(root, text="红色图", command=lambda: redImage(e_entry))
+red_button = tkinter.Button(root, text="红色图", command=lambda: redImage(e_entry),activeforeground="red")
 red_button.place(x=430, y=75)
 
 
@@ -187,10 +183,11 @@ def blueImage(e_entry):
 
 
 # 蓝色图按钮
-blue_button = tkinter.Button(root, text="蓝色图", command=lambda: blueImage(e_entry))
+blue_button = tkinter.Button(root, text="蓝色图", command=lambda: blueImage(e_entry),activeforeground="red")
 blue_button.place(x=490, y=75)
 
-#绿色图函数
+
+# 绿色图函数
 def greenImage(e_entry):
     img = Image.open(e_entry.get())
     img = np.array(img)
@@ -203,7 +200,7 @@ def greenImage(e_entry):
 
 
 # 绿色按钮
-green_button = tkinter.Button(root, text='绿色图', command=lambda: greenImage(e_entry))
+green_button = tkinter.Button(root, text='绿色图', command=lambda: greenImage(e_entry),activeforeground="red")
 green_button.place(x=550, y=75)
 
 
@@ -221,14 +218,14 @@ def imageMix(e_entry):
 
 
 # 图像混合按钮
-imageMix_button = tkinter.Button(root, text="图像混合", command=lambda: imageMix(e_entry))
+imageMix_button = tkinter.Button(root, text="图像混合", command=lambda: imageMix(e_entry),activeforeground="red")
 imageMix_button.place(x=40, y=105)
 
 
 # 图像剪切函数
-def imageCut(e_entry):
+def imageCut(e_entry,Entrybutton): # 一个Entrybutton代表四个值(20, 10, 190, 190)
     img1 = Image.open(e_entry.get())
-    part = (20, 10, 190, 190)
+    part = (eval(Entrybutton.get()))
     img2 = img1.crop(part)
     img3 = ImageTk.PhotoImage(img2)
     img = tkinter.Label(image=img3)
@@ -237,13 +234,13 @@ def imageCut(e_entry):
 
 
 # 剪切按钮
-cut_button = tkinter.Button(root, text="剪   切", command=lambda: imageCut(e_entry))
+cut_button = tkinter.Button(root, text="剪   切", command=lambda: imageCut(e_entry,Entrybutton),activeforeground="red")
 cut_button.place(x=110, y=105)
 
 
 # 部分替换函数
-def imgReplace(e_entry):
+def imgReplace(e_entry,Entrybutton): # Entrybutton 代表4个值(10, 50, 250, 250)
-    part = (10, 50, 250, 250)
+    part = (eval(Entrybutton.get()))
     img1 = Image.open(e_entry.get())
     img2 = Image.open("./data/picture.png")
     img3 = img2.crop(part)
@@ -256,23 +253,24 @@ def imgReplace(e_entry):
 
 
 # 部分替换按钮
-imgReplace_button = tkinter.Button(root, text="部分替换", command=lambda: imgReplace(e_entry))
+imgReplace_button = tkinter.Button(root, text="部分替换", command=lambda: imgReplace(e_entry,Entrybutton),activeforeground="red")
 imgReplace_button.place(x=170, y=105)
 
 # 输入框
 Entrybutton = tkinter.Entry(root, width=15)
-Entrybutton.insert(0, 2)
+Entrybutton.insert(0, 0.5)
 Entrybutton.place(x=490, y=110)
 
 lab5 = tkinter.Label(root, text="Gamma:")
 lab5.place(x=430, y=110)
 
-
+lab6=tkinter.Label(root,text=":<-other")
+lab6.place(x=585,y=110)
 # 伽马矫正函数(默认1/1,5)
 def gammaCorrect(e_entry, Entrybutton):
     img = Image.open(e_entry.get())
     img = np.array(img)
-    img1 = np.power(img / float(np.max(img)), int(Entrybutton.get()))
+    img1 = np.power(img / float(np.max(img)), float(Entrybutton.get()))
     img2 = Image.fromarray(np.uint8(img1 * 255))
     img3 = ImageTk.PhotoImage(img2)
     img = tkinter.Label(image=img3)
@@ -281,7 +279,7 @@ def gammaCorrect(e_entry, Entrybutton):
 
 
 # 伽马矫正按钮
-gammaCorrect_button = tkinter.Button(root, text="伽马矫正", command=lambda: gammaCorrect(e_entry, Entrybutton))
+gammaCorrect_button = tkinter.Button(root, text="伽马矫正", command=lambda: gammaCorrect(e_entry, Entrybutton),activeforeground="red")
 gammaCorrect_button.place(x=240, y=105)
 
 
@@ -308,7 +306,7 @@ def decrease_color(e_entry):
 
 
 # 减色按钮
-decrease_color_button = tkinter.Button(root, text="减色", command=lambda: decrease_color(e_entry))
+decrease_color_button = tkinter.Button(root, text="减色", command=lambda: decrease_color(e_entry),activeforeground="red")
 decrease_color_button.place(x=310, y=105)
 
 
@@ -338,7 +336,7 @@ def showImage(e_entry):
 
 
 # 采样按钮
-picSampl_button = tkinter.Button(root, text='图片采样', command=lambda: showImage(e_entry))
+picSampl_button = tkinter.Button(root, text='图片采样', command=lambda: showImage(e_entry),activeforeground="red")
 picSampl_button.place(x=360, y=105)
 
 
@@ -352,8 +350,9 @@ def showImg(e_entry):
     img.place(x=50, y=150)
 
 
+
 # 图片展示按钮
-submit_button = tkinter.Button(root, text="显示原图", command=lambda: showImg(e_entry))
+submit_button = tkinter.Button(root, text="显示原图", command=lambda: showImg(e_entry),activeforeground="red")
 submit_button.place(x=40, y=75)
 
 lable3 = tkinter.Label(root, text='原图', bg='red')

Image_Capture.py

@@ -28,7 +28,7 @@ def imgCut(path, left, upper, right, lower):
     # print(img.size) Picture Size
     part = (left, upper, right, lower)  # 设置剪切的大小
 
-    # 剪切函数的调用
+    # 函数的调用
     cut_img = img.crop(part)
 
     # 展示图片

Image_Mix.py

@@ -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
 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'''
 
 
-# 阿尔法图像混合
+# 图像混合
 def imageMix(imagePath1, imagePath2):
     '''
 

Modify_Pixels.py

@@ -51,8 +51,11 @@ class modfifyImage():
         x, y = plt.subplots(2, 2)
         x.set_size_inches(10, 10)
         y[0, 0].imshow(self.imageMatrix())
+
         y[0, 1].imshow(red)
+
         y[1, 0].imshow(green)
+
         y[1, 1].imshow(blue)
         # 图片保存
         Image.fromarray(np.uint8(red)).save(root + 'picture1' + '.jpg')

Orientation_Modification.py

@@ -42,26 +42,25 @@ class directionChanges():
 
     # 图像水平镜面对称
     def mirrorSymmetry(self):
-        plt6 = self.imageMatrix()[::-1]
+        # plt6 = self.imageMatrix()[::-1]
+        plt6=self.imageRead().transpose(Image.ROTATE_180)
         plt.imshow(plt6)
         plt.show()
         return plt6
-
     # 垂直对称(右旋转)
     def verticalSummetry_right(self):
-        plt5 = self.imageMatrix().swapaxes(1, 0)
+
-        plt.imshow(plt5[:, ::-1])
+        plt5=self.imageRead().transpose(Image.ROTATE_270)
+
+        plt.imshow(plt5)
         plt.show()
         return plt5
-
     # 垂直镜面(左旋转)
-    # 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
     def verticalSummetry_lift(self):
-        plt7 = self.imageMatrix().transpose(1, 0, 2)  # x,y轴转置
+        plt7 = self.imageRead().transpose(Image.ROTATE_90)
-        plt.imshow(plt7[::-1])
+        plt.imshow(plt7)
         plt.show()
         return plt7
-
     # 保存图片
     def img_Save(self):
         root = "E:\\桌面\\Python_Picture_Analysis\\data\\"  # 图片保存地址

Picture _Crawling.py

@@ -1,36 +0,0 @@
-# -*- coding: utf-8 -*-
-# @Time    : 2022-7-24 0024 11:18
-# @Author  : Qing
-# @Email   : derighoid@gmail.com
-# @File    : Picture _Crawling.py
-# @Software: PyCharm
-
-# 导入库
-import os
-import requests
-
-
-# path = '(?<=<img(?:.*)\s+src=")[^"]+(\.png|jpg|jpeg)'
-# 定义函数
-def pictureCrawl(url):
-    # 文件保存地址
-    root = "E://桌面//Python_Picture_Analysis//data//"
-    # 文件的保存地址以及格式
-    path = root + url.split('/')[-3] + '.png'
-    try:
-        if not os.path.exists(root):  # 判断是否存在文件夹
-            os.mkdir(root)
-        if not os.path.exists(path):  # 判断是否存在该文件
-            r = requests.get(url)
-            # 文件写入
-            with open(path, 'wb') as fp:
-                fp.write(r.content)
-                print("OK")
-        else:
-            print("File already exists")
-    except:
-        print("Crawl successful")
-
-
-# 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"
-# pictureCrawl(url)

Picture_Reading.py

@@ -7,17 +7,13 @@
 
 # 导入库
 import os.path
-
 import matplotlib.pyplot as plt
 import numpy as np
 from PIL import Image
-
-
 # 建立图片读取类
 class pictureRead(object):
     def __init__(self, filePath):
         self.filePath = filePath
-
     # 图片读取
     def fileRead(self):
         if self.filePath == " ":
@@ -25,8 +21,7 @@ class pictureRead(object):
         else:
             face = Image.open(self.filePath)
         return face
-
+    # 图片数字化
-    # 图片转矩阵
     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

Subtractive_Algorithm.py

@@ -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.subplot(144)
-        plt.imshow(newImg3)
+        # plt.imshow(newImg3)
-        plt.title("3")
+        # plt.title("3")
         plt.show()
         return newImg,newImg2,newImg3
 

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_right() # 右旋转
-    # direction_Changes.verticalSummetry_lift()
+    # direction_Changes.verticalSummetry_lift()  # 左旋转
-    # direction_Changes.mirrorSymmetry()
+    # direction_Changes.mirrorSymmetry()   # 镜像对称
-    # direction_Changes.imageRepetition()
+    # direction_Changes.imageRepetition()  # 图像重复
-    # direction_Changes.img_Save()
+    # # 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.decrease_color()  #  减色算法
-    # reduce_color.img_Save()
+    # # reduce_color.img_Save()
-    # reduce_color.imgBinarization()
+    # reduce_color.imgBinarization()  #图像二值化
+
 
     # Gamma矫正
     # gammaCorrect("./data/th.png", 1.5)
-
+    #
-    # 图片截取
+    # # 图片截取
-    # left, upper, right, lower
+    # # 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\\th.png',20,10,190,190)
-    imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\picture.png',30,70,230,230)
+    # # imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\picture.png',30,70,230,230)
-
+    #
-    # 图片替换
+    # # 图片替换
-    imgReplace('E:\\桌面\\Python_Picture_Analysis\\data\\th.png', "E:\\桌面\\Python_Picture_Analysis\\data\\picture.png",
+    # imgReplace('E:\\桌面\\Python_Picture_Analysis\\data\\th.png', "E:\\桌面\\Python_Picture_Analysis\\data\\picture.png",
-               10, 50, 250, 250)
+    #            10, 50, 250, 250)
-
+    #
-    # 阿尔法混合
+    # # 阿尔法混合
-    imageMix('E:\\桌面\\Python_Picture_Analysis\\data\\th.png','E:\\桌面\\Python_Picture_Analysis\\data\\picture.png')
+    # imageMix('E:\\桌面\\Python_Picture_Analysis\\data\\th.png','E:\\桌面\\Python_Picture_Analysis\\data\\picture.png')
-
+    #
-    #蓝噪
+    # #采样
     showImage("./data/th.png")