二值图片轮廓提取

# -*- coding: UTF-8 -*-

import cv2
import numpy as np
import os


reagents = [‘MaskVIA1‘, ‘MaskVIA3‘, ‘MaskVILI‘]
if __name__ == ‘__main__‘:

    path = ‘F:/project/Cancer/dataset/Cervical_Data/Cut_Data/CANCER/3/‘

    for file_name in os.listdir(path):


        if not os.path.isdir(path+‘/‘+file_name):


            print(file_name)
            image = cv2.imread(path + ‘/‘ + file_name)
            gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
            gray_image = cv2.Canny(gray_image, 100, 200)
            gray_image = cv2.morphologyEx(gray_image, cv2.MORPH_DILATE, np.ones((5, 5), np.uint8))

            gray_image = 255 - gray_image

            cv2.imwrite(path + ‘new_label/‘ + file_name.split(‘.‘)[0] + ‘.‘ + file_name.split(‘.‘)[1], gray_image)

            ‘‘‘
            cv2.imshow(file_name, gray_image)
            cv2.waitKey(0)
            cv2.destroyWindow(file_name)
            ‘‘‘

    print(‘all_finished‘)

# -*- coding: UTF-8 -*-

import cv2
import numpy as np
import os


class_names = [‘NORMAL‘, ‘CIN1‘, ‘CIN2‘, ‘CIN3‘, ‘CANCER‘]
reagents = [‘MaskVIA1‘, ‘MaskVIA3‘, ‘MaskVILI‘]

if __name__ == ‘__main__‘:

    path = ‘F:/project/Cancer/dataset/Cervical_Data/Cut_Data‘
    path1 = ‘F:/project/Cancer/dataset/Cervical_Data/Labels‘

    for class_name in class_names:
        src_path = path + ‘/‘ + class_name
        src_path1 = path1 + ‘/‘ + class_name
        for patient_code in os.listdir(src_path):
            src_patient_dir = src_path + ‘/‘ + patient_code
            print(src_patient_dir)
            tar_patient_dir = src_path1 + ‘/‘ + patient_code
            print(tar_patient_dir)
            file_names = [res for res in os.listdir(src_patient_dir) if   (res.startswith(‘Mask‘) and res.endswith(‘.jpg‘))]
            os.makedirs(tar_patient_dir)
            for file_name in file_names:
                print(file_name)
                image = cv2.imread(src_patient_dir + ‘/‘ + file_name)
                gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
                gray_image = cv2.Canny(gray_image, 100, 200)
                gray_image = cv2.morphologyEx(gray_image, cv2.MORPH_DILATE, np.ones((10, 10), np.uint8))

                gray_image = 255 - gray_image

                cv2.imwrite(tar_patient_dir  +‘/‘ + file_name, gray_image)