在绘制矩形 Tkinter 时逻辑填充颜色

Question

使用 PIL 在 canvas 中的图像上绘制矩形。我希望根据 canvas.

中图像的像素颜色更改填充矩形

我已经引用了其中一篇交叉帖子（link 粘贴在下面）以在 Tkinter 中创建带有鼠标事件的矩形。

create_rectangle 用鼠标事件指定的颜色填充矩形（示例：本例中矩形填充为黑色）。有没有一种方法可以根据背景图像的现有像素颜色从逻辑上更改填充颜色？我的意思是，在绘制矩形时，我只需要将背景图像的白色像素变为红色，其余颜色变为不同的颜色。

Drawing rectangle using mouse events in Tkinter

[1]: https://i.stack.imgur.com/W41kX.jpg

def rec_on_button_press(self,event):
    self.start_x = event.x
    self.start_y = event.y
    self.rect=self.image_canvas.create_rectangle(self.x, self.y, 1, 1,fill=self.python_red)
def rec_on_move(self, event):
    curX, curY = (event.x, event.y)
    imagenp= np.array(image)
    if imagenp[curY,curX]==255:
        self.python_red="#EE204D"
    else:
        self.python_red=None
    self.image_canvas.coords(self.rect, self.start_x, self.start_y, curX, curY)

def rec_on_button_release(self, event):
    pass

Answer 1

原理：裁剪图像 select，创建并显示。

代码需要修改，完整代码示例（示例是将255（白色）转换为0（黑色））：

import tkinter as tk # this is in python 3.4. For python 2.x import Tkinter
from PIL import Image, ImageTk
import numpy as np
import ctypes
ctypes.windll.shcore.SetProcessDpiAwareness(2) # for windows 10

class ExampleApp(tk.Tk):
    def __init__(self):
        tk.Tk.__init__(self)
        self.x = self.y = 0
        self.canvas = tk.Canvas(self, width=512, height=512, cursor="cross")
        self.canvas.pack(side="top", fill="both", expand=True)
        self.canvas.bind("<ButtonPress-1>", self.on_button_press)
        self.canvas.bind("<B1-Motion>", self.on_move_press)
        self.canvas.bind("<ButtonRelease-1>", self.on_button_release)

        self.rect = None

        self.start_x = None
        self.start_y = None
        self.python_red = None

        self.im = Image.open(r'ImagePath').convert("L")
        self.move_imageID = None
        self.move_image = None
        self.tk_im = ImageTk.PhotoImage(self.im)
        self.canvas.create_image(0,0,anchor="nw",image=self.tk_im)



    def on_button_press(self, event):
        # save mouse drag start position
        self.start_x = event.x
        self.start_y = event.y
        self.rect = self.canvas.create_rectangle(self.x, self.y,  0, 0, outline="black")

    def on_move_press(self, event):
        self.canvas.delete(self.move_imageID)
        crop_image = self.im.crop((self.start_x,self.start_y,event.x,event.y))
        imageArray = np.array(crop_image)
        if imageArray.shape:
            for i in range(imageArray.shape[0]):
                for j in range(imageArray.shape[1]): # convert  the white pixel to black
                    if imageArray[i,j] == 255:
                        imageArray[i,j] = 0
            self.move_image = Image.fromarray(imageArray)
            self.move_image = ImageTk.PhotoImage(self.move_image)
            self.move_imageID = self.canvas.create_image(self.start_x,self.start_y,anchor="nw",image=self.move_image)
            self.canvas.coords(self.rect,self.start_x,self.start_y,event.x,event.y)
            self.canvas.lift(self.rect)

    def on_button_release(self, event):
        pass


if __name__ == "__main__":
    app = ExampleApp()
    app.mainloop()

现在：

Select地区：

Answer 2

原理：将图片转为numpy数组，使用opencv绘制矩形。处理像素颜色后转换回图像。

def rec_on_button_press(self,event):
        self.start_x = event.x
        self.start_y = event.y
        self.rect=self.image_canvas.create_rectangle(self.x, self.y, 1, 1,fill=self.python_red)
def rec_on_move(self, event):
        curX, curY = (event.x, event.y)
        cropimage=originalimage.crop((self.start_x,self.start_y,curX,curY))
        cropimagergb=cropimage.convert('RGB')
        cropimagergb.save('crop1.png')
        imagergbcv2=cv2.imread('crop1.png')
        if imagergbcv2.shape[:2]:
            for i in range(imagergbcv2.shape[0]):
                for j in range(imagergbcv2.shape[1]): 
                    color=imagergbcv2[i,j]
                    if (color[0]==255 and color[1]==255 and color[2]==255):
                        imagergbcv2[i,j]=(0,255,0)
        cv2.imwrite('crop2.png',imagergbcv2)
        croppedimage=cv2.imread('crop2.png')
        originalimage[self.start_y:self.start_y+croppedimage.shape[0],self.start_x:self.start_x+croppedimage.shape[1]]=croppedimage
        cv2.imwrite('originalpluscropped.png',originalimage)
    self.image_canvas.coords(self.rect, self.start_x, self.start_y, curX, curY)

def rec_on_button_release(self, event):
    pass
    self.image=Image.open('originalpluscropped.png')

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