这是一个小型的交互式Python应用程序，用于模仿MATLAB的improfile。

图像已加载，并显示在OpenCV窗口中。记录鼠标按键的向下和向上事件以获取生产线的起点和终点。图像中显示了线条（白色），附加的Matplotlib窗口中显示了相应的RGB强度配置文件。可以通过在OpenCV窗口中按c键退出无限循环。

外观如下：

然后是代码：

import cv2
from matplotlib import pyplot as plt
import numpy as np
from skimage import draw

# Actual mouse callback function
def print_coords(event,x,y,flags,param):

    # Global variables needed
    global image,image_copy,r_start,c_start

    # If left mouse button is clicked,start of line
    if (event == cv2.EVENT_LBUTTONDOWN):
        r_start = x
        c_start = y

    # If left mouse button is clicked,end of line; plot intensity profile
    if (event == cv2.EVENT_LBUTTONUP):
        r_end = x
        c_end = y
        image = cv2.line(image_copy.copy(),(r_start,c_start),(r_end,c_end),(255,255,255),2)
        line = np.transpose(np.array(draw.line(r_start,c_start,r_end,c_end)))
        data = image_copy.copy()[line[:,1],line[:,0],:]
        plt.close()
        plt.figure('Intensity profile')
        plt.plot(data[:,'b',data[:,'g',2],'r')
        plt.draw()
        plt.pause(0.001)
        plt.legend(['Blue','Green','Red'])
        plt.ylim((0,255))

# Read an image
image = cv2.imread('path/to/your/image.png',cv2.IMREAD_COLOR)
image_copy = image.copy()

# Set up window and mouse callback function
cv2.namedWindow("image")
cv2.setMouseCallback("image",print_coords)

# Loop until the 'c' key is pressed
while True:

    # Display image; wait for keypress
    cv2.imshow("image",image)
    key = cv2.waitKey(1) & 0xFF

    # If 'c' key is pressed,break from loop
    if  key == ord("c"):
        break

cv2.destroyAllWindows()

要获取直线的坐标，请使用scikit-image中的line函数。这似乎是最快的Python方式。

希望能帮助Python人士寻找这样的功能！

是的，它叫做LineIterator。

// grabs pixels along the line (pt1,pt2)
// from 8-bit 3-channel image to the buffer
LineIterator it(img,pt1,pt2,8);
LineIterator it2 = it;
vector<Vec3b> buf(it.count);
for(int i = 0; i < it.count; i++,++it)
    buf[i] = *(const Vec3b*)*it;
// alternative way of iterating through the line
for(int i = 0; i < it2.count; i++,++it2)
{
    Vec3b val = img.at<Vec3b>(it2.pos());
    CV_Assert(buf[i] == val);
}

更多信息在这里：

https://docs.opencv.org/master/dc/dd2/classcv_1_1LineIterator.html