python篇-工业相机学习

1，抠出屏的图

import cv2
from PIL import Image


def getCoordinate(img):
    rectangle = []
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # 灰度图
    ret, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)  # 二值化

    element3 = cv2.getStructuringElement(cv2.MORPH_RECT, (8, 8))  # 设置膨胀和腐蚀操作
    dilation = cv2.dilate(binary, element3, iterations=1)  # 膨胀一次，让轮廓突出
    contours, hierarchy = cv2.findContours(dilation, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)  # 检测轮廓

    for contour in contours:
        x, y, w, h = cv2.boundingRect(contour)
        rectangle.append((x, y, x + w, y + h))
    print(f'rectangle: {rectangle}')
    return rectangle

def savePic(rectangle):
    for i in range(len(rectangle)-1):
        imgPath = rf"E:\Work\space\raspberry\test_{i}.jpg"  # notes: 图片的扩展名要一致
        im = Image.open(defaultImgPath)
        im = im.crop(rectangle[i])  # 对图片进行切割 im.crop(top_x, top_y, bottom_x, bottom_y)
        im.save(imgPath)


if __name__ == '__main__':
    defaultImgPath = r"E:\Work\space\raspberry\test.jpg"
    img = cv2.imread(defaultImgPath)
    coordinateValue = getCoordinate(img)
    savePic(coordinateValue)

2，