import cv2

读入图像

img = cv2.imread('example.jpg')

转为灰度图像

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

二值化处理

_, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

计算边框大小

border_size = 0 for i in range(thresh.shape[0]): if thresh[i, 0] == 255: border_size += 1 for i in range(thresh.shape[0]): if thresh[i, thresh.shape[1]-1] == 255: border_size += 1 for i in range(thresh.shape[1]): if thresh[0, i] == 255: border_size += 1 for i in range(thresh.shape[1]): if thresh[thresh.shape[0]-1, i] == 255: border_size += 1

裁剪掉白色部分

crop_img = img[border_size:img.shape[0]-border_size, border_size:img.shape[1]-border_size]

扩展为原图一致大小的分辨率

resized_img = cv2.resize(crop_img, (img.shape[1], img.shape[0]))

保存图像

cv2.imwrite('result.jpg', resized_img)