技術標籤：影象處理opencv計算機視覺人臉識別深度學習影象識別

醫學影象標籤和影象的重疊操作

import cv2
#需要自己先建立好資料夾
def Edge_Extract(label,image):
    img = cv2.imread(label)
    image = cv2.imread(image)
    cv2.imshow('imgshow', img)  # 顯示返回值image，其實與輸入引數的thresh原圖沒啥區別
    cv2.waitKey()
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    ret,
 
 thresh = cv2.threshold(img, 127, 255, 0)

    contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
    cnt = contours[0]
    res = cv2.drawContours(image, cnt, -1, (0, 0, 255), 2, cv2.LINE_AA)
    cv2.imshow('image+mask', res)
    cv2.waitKey()
    cv2.imwrite('E:/Recursive/output4/seg_fixed_extract.png'
 
, res)
    return 0

if __name__ == '__main__':
    root1 = 'E:/Recursive/output4/seg_fixed.png'	# 修改為你對應的檔案路徑
    root2 = 'E:/Recursive/output4/image_fixed.png'
    Edge_Extract(root1, root2)