Third commit

Blue_noise_sampling.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-26 0026 19:09
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Blue_noise_sampling.py
+# @Software: PyCharm
+
+'''
+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。
+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，假如是缩小图片括号内的数字小于1，放大则大于1，相当于系数，再乘以新图片的宽度/高度，就实现了缩放。
+'''
+
+from PIL import Image
+import matplotlib.pyplot as plt
+import numpy as np
+import math
+
+
+# # 最近邻插值算法
+# # dstH为新图的高;dstW为新图的宽
+# def blueNoiseSampl(img, dstH, dstW):
+#     scrH, scrW, t = img.shape  # src原图的长宽
+#     retimg = np.zeros((dstH, dstW, 3), dtype=np.uint8)
+#     for i in range(dstH - 1):
+#         for j in range(dstW - 1):
+#             scrx = round(i * (scrH / dstH))
+#             scry = round(j * (scrW / dstW))
+#             retimg[i, j] = img[scrx, scry]
+#
+#     return retimg
+#
+#
+# im_path = './data/th.png'
+# image = np.array(Image.open(im_path))
+#
+# plt.figure(figsize=(16, 8))
+#
+# plt.subplot(1, 2, 1)
+# plt.imshow(image)
+#
+# image1 = blueNoiseSampl(image, image.shape[0] * 2, image.shape[1] * 2)
+# # 从array转换成image
+# image1 = Image.fromarray(image1.astype('uint8')).convert('RGB')
+# image1.save('./data/picture13.png')
+# plt.subplot(1, 2, 2)
+# plt.imshow(image1)
+# plt.show()
+
+
+

GUI.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-25 0025 15:03
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : GUI.py
+# @Software: PyCharm
+import tkinter
+
+# git checkout -b "main"
+
+import tkinter
+root =tkinter.Tk()

GammaCorrection.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-26 0026 11:41
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : GammaCorrection.py
+# @Software: PyCharm
+'''
+gamma矫正公式：
+f(x)=xγ
+即输出是输入的幂函数，指数为γ．
+'''
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+
+root = "E:\\桌面\\Python_Picture_Analysis\\data\\"
+
+
+def gammaCorrect(filePath,val):
+    im = Image.open(filePath)
+    img = np.array(im)
+
+    img1 = np.power(img / float(np.max(img)), 1 / 1.5)
+    img2 = np.power(img / float(np.max(img)), val)
+
+    plt.subplot(131)
+    plt.imshow(img)
+    plt.title("origin")
+    plt.subplot(132)
+    plt.imshow(img1)
+    plt.title("gammar=1/1.5")
+    plt.subplot(133)
+    plt.imshow(img2)
+    plt.title("user-defined")
+    plt.show()
+    Image.fromarray(np.uint8(img2)).save(root + 'picture10' + '.jpg')
+    return img2
+
+

Image_Capture.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-26 0026 15:46
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Image_Capture.py
+# @Software: PyCharm
+
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+
+root = "E:\\桌面\\Python_Picture_Analysis\\data\\"
+
+
+def imgCut(path, left, upper, right, lower):
+    """
+    :param path: 图片路径
+    :param left:与左边界的距离
+    :param upper:与上边界的距离
+    :param right:与有边界的距离
+    :param lower:与底部边界的距离
+    :return:
+    """
+    img = Image.open(path)
+    print(img.size)
+    part = (left, upper, right, lower)
+
+    cut_img = img.crop(part)
+
+    plt.figure("image Cut")
+    plt.subplot(121)
+    plt.title("origin")
+    plt.imshow(img)
+
+    plt.subplot(122)
+    plt.title("CUT part")
+    plt.imshow(cut_img)
+    plt.show()
+
+    Image.fromarray(np.uint8(cut_img)).save(root + "picture11.jpg")
+
+    return cut_img
+
+
+def imgReplace(path1, path2, left2, upper2, right2, lower2):
+    """
+    :param path1: 被替换图片的路径
+    :param path2: 替换的图片路径
+    :param left2, upper2, right2, lower2:替换图片的大小
+    :return:
+    """
+
+    img1 = Image.open(path1)
+    img2 = Image.open(path2)
+
+    part2 = (left2, upper2, right2, lower2)
+    cut_img2 = img2.crop(part2)
+
+    img1.paste(cut_img2, (10, 50, 250, 250))
+
+    plt.figure("picture replace")
+    plt.subplot(121)
+    plt.imshow(img2)
+
+    plt.subplot(122)
+    plt.imshow(img1)
+    plt.show()
+    Image.fromarray(np.uint8(img1)).save(root + 'picture12.jpg')
+    return img1

Image_Mix.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-26 0026 17:44
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Image_Mix.py
+# @Software: PyCharm
+
+from PIL import Image
+import matplotlib.pyplot as plt
+import numpy as np
+import cv2
+# 阿尔法图像混合
+def imageMix(imagePath1, imagePath2):
+    img1 = Image.open(imagePath1)
+    im1 = np.array(img1)
+    img2 = Image.open(imagePath2)
+    im2 = np.array(img2)
+
+    img3 = cv2.addWeighted(im1, 0.8, im2, 0.3, 0)
+
+    plt.imshow(img3)
+    Image.fromarray(np.uint8(img3)).save("./data/picture14.png")
+    plt.show()
+
+

Modify_Pixels.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-24 0024 16:42
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Modify_Pixels.py
+# @Software: PyCharm
+
+import os
+
+# 导入库
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+
+
+class modfifyImage():
+    def __init__(self, filePath):
+        self.filePath = filePath
+
+    # 图片读取
+    def imageRead(self):
+        if self.filePath == " ":
+            print("Please full in the file path")
+        else:
+            face = Image.open(self.filePath)
+        return face
+
+    # 图片转矩阵
+    def imageMatrix(self):
+        im = np.array(self.imageRead())
+        return im
+
+    # 图片像素反转
+    def pixInversion(self):
+        im2 = 255 - self.imageMatrix()
+        plt.figure()
+        plt.imshow(im2)
+        plt.show()
+        return im2
+
+    # 显示图像三通道颜色
+    def img_RGB(self):
+        root="E:\\桌面\\Python_Picture_Analysis\\data\\"   # 图片保存地址
+        red = self.imageMatrix().copy()
+        red[:, :, 1:3] = 0
+        green = self.imageMatrix().copy()
+        green[:, :, ::2] = 0
+        blue = self.imageMatrix().copy()
+        blue[:, :, :2] = 0
+        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')
+        Image.fromarray(np.uint8(blue)).save(root + 'picture2' + '.jpg')
+        Image.fromarray(np.uint8(green)).save(root + 'picture3' + '.jpg')
+        plt.show()
+        return red,green,blue
+
+    # 获得该点的类型
+    def get_imgType(self, x, y):
+        return type(self.imageMatrix()[x, y])

Orientation_Modification.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-25 0025 10:46
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Orientation_Modification.py
+# @Software: PyCharm
+
+import os
+
+# 导入库
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+
+class directionChanges():
+    def __init__(self, filePath):
+        self.filePath = filePath
+
+    # 图片读取
+    def imageRead(self):
+        face3 = Image.open(self.filePath)
+        return face3
+
+    # 图片上矩阵化
+    def imageMatrix(self):
+        im3 = np.array(self.imageRead())
+        return im3
+
+    def imageRepetition(self):
+        # 图像重复
+        # 先水平方向两次，再垂直方向3次
+        plt1 = np.concatenate((self.imageMatrix(), self.imageMatrix()), axis=1)
+        plt2 = np.concatenate((plt1, plt1, plt1), axis=0)
+        plt.imshow(plt2)
+        plt.show()
+        # # 先垂直方向转3次,再水平方向转4次
+        plt3 = np.concatenate((self.imageMatrix(), self.imageMatrix(), self.imageMatrix()), axis=0)
+        plt4 = np.concatenate((plt3, plt3, plt3, plt3), axis=1)
+        plt.imshow(plt4)
+        plt.show()
+        return plt2
+
+    # 图像水平镜面对称
+    def mirrorSymmetry(self):
+        plt6 = self.imageMatrix()[::-1]
+        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])
+        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
+        plt.imshow(plt7[::-1])
+        plt.show()
+        return plt7
+
+    # 保存图片
+    def img_Save(self):
+        root = "E:\\桌面\\Python_Picture_Analysis\\data\\"
+        if not os.path.exists(root):
+            os.mkdir(root)
+        else:
+            Image.fromarray(np.uint8(self.imageRepetition())).save(root+'picture4'+'.jpg')
+            Image.fromarray(np.uint8(self.mirrorSymmetry())).save(root+'picture5'+'.jpg')
+            Image.fromarray(np.uint8(self.verticalSummetry_right())).save(root+'picture6'+'.jpg')
+            Image.fromarray(np.uint8(self.verticalSummetry_lift())).save(root+'picture7'+'.jpg')
+
+

Picture _Crawling.py

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+# -*- 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

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-24 0024 16:00
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Picture_Reading.py
+# @Software: PyCharm
+
+# 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 == " ":
+            print("Please full in the file path")
+        else:
+            face = Image.open(self.filePath)
+        return face
+
+    # 图片转矩阵
+    def imageMatrix(self):
+        im = np.array(self.fileRead())
+        return im
+
+    # 图片转灰色
+    def imageGrey(self):
+        im_gray = np.array(self.fileRead().convert("L"))
+        return im_gray
+
+    # 打印图片类型
+    def get_imageType(self):
+        print(type(self.imageGrey()))
+
+    # 打印图片矩阵元素类型
+    def get_imageDtype(self):
+        print(self.imageGrey().dtype)
+
+    # 打印图片大小
+    def get_imageSize(self):
+        print(self.imageMatrix().shape)
+
+    # 图片plt展示
+    def plt_image(self):
+        # 原图片显示
+        plt.imshow(self.imageMatrix())
+        plt.show()
+        # 灰色图片显示
+        plt.imshow(self.imageGrey())
+        plt.show()
+
+    # 图片保存
+    def image_save(self):
+        path = 'E:\\桌面\\Python_Picture_Analysis\\data\\numpy_red.png'
+        root="E:\\桌面\\Python_Picture_Analysis\\data\\"
+        if not os.path.exists(root):
+            os.mkdir(root)  # 判断是否存在文件夹
+        else:
+            if os.path.exists(path):  # 判断是否已经存在该文件
+                print("File already exists")
+            else:
+                Image.fromarray(np.uint8(self.imageGrey())).save(path)
+                print("Save successfully")
+
+

Subtractive_Algorithm.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-26 0026 9:58
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : Subtractive_Algorithm.py
+# @Software: PyCharm
+import os.path
+
+import numpy as np
+import matplotlib.pyplot as plt
+from PIL import Image
+from Picture_Reading import *
+
+class ReduceColor(pictureRead):
+    def __init__(self,filePath):
+        self.filePath=filePath
+
+    def readImg(self):
+        face4=Image.open(self.filePath)
+        return face4
+
+    def imageMatrix(self):
+        im4 = np.array(self.readImg())
+        return im4
+
+    # 减色算法
+    def decrease_color(self):
+        out=self.imageMatrix().copy()
+        out=out//64*64+32
+        Image.fromarray((np.uint8(out))).save("E:\\桌面\\Python_Picture_Analysis\\data\\picture8.jpg")
+        return out
+
+    # 展示图片
+    def plt_Img(self):
+        plt.imshow(self.decrease_color())
+        plt.show()
+
+
+    #图像二值化(以128为阈值进行二值化)
+    def imgBinarization(self):
+        a=self.imageGrey()-np.array([[128]])
+        b=np.floor(a/np.array([[256]]))
+        c=b+np.array([[1]],dtype=np.int16)
+        bfilter=c.astype("uint8")
+        result=bfilter*np.array([[255]],dtype=np.uint8)
+        # result=np.array(self.readImg().convert("1"))
+        plt.imshow(result)
+        plt.show()
+        return result
+
+    #保存图片
+    def img_Save(self):
+        root = "E:\\桌面\\Python_Picture_Analysis\\data\\"
+        if not os.path.exists(root):
+            os.mkdir(root)
+        else:
+            Image.fromarray(np.uint8(self.decrease_color())).save(root + 'picture8'+'.jpg')
+            Image.fromarray(np.uint8(self.imgBinarization())).save(root + 'picture9'+'.jpg')
+            print("Picture Save successfully")
+

main.py

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+# -*- coding: utf-8 -*-
+# @Time    : 2022-7-24 0024 15:59
+# @Author  : Qing
+# @Email   : derighoid@gmail.com
+# @File    : main.py
+# @Software: PyCharm
+
+from GammaCorrection import *
+from Modify_Pixels import *
+from Orientation_Modification import *
+from Subtractive_Algorithm import *
+from Image_Mix import *
+if __name__ == '__main__':
+    # 图片读取
+    picture_read = pictureRead('E:\\桌面\\Python_Picture_Analysis\\data\\th.jpg')
+    # picture_read.plt_image()
+
+    # 图片修改
+    modif_image = modfifyImage('E:\\桌面\\Python_Picture_Analysis\\data\\th.jpg')
+    # print(modif_image.img_RGB())
+
+    # 图片方向修改
+    direction_Changes = directionChanges('E:\\桌面\\Python_Picture_Analysis\\data\\th.jpg')
+    # direction_Changes.verticalSummetry_right()
+    # direction_Changes.verticalSummetry_lift()
+    # direction_Changes.mirrorSymmetry()
+    # direction_Changes.imageRepetition()
+    # direction_Changes.img_Save()
+
+    # 减色算法
+    reduce_color = ReduceColor('E:\\桌面\\Python_Picture_Analysis\\data\\th.jpg')
+    # reduce_color.plt_Img()
+    # reduce_color.img_Save()
+    # reduce_color.imgBinarization()
+
+    # 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.jpg',20,10,190,190)
+    # imgCut('E:\\桌面\\Python_Picture_Analysis\\data\\picture.jpg',30,70,230,230)
+
+    # 图片替换
+    # imgReplace('E:\\桌面\\Python_Picture_Analysis\\data\\th.jpg', "E:\\桌面\\Python_Picture_Analysis\\data\\picture.jpg",
+    #            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')