利用opencv提取最大白色区域

import imutils
import scipy.spatial
import matplotlib.pyplot as plt
import os
import cv2
import numpy as np

images_path='./new_pig_data'
# images_path='./new_disk_data'

output_path='./output_pig_data'
# output_path='./output_disk_data'
if not os.path.exists(output_path):
    os.makedirs(output_path)
"""读取图片路径"""
def read_path(image_path):
    images_name=os.listdir(image_path)
    images_path=[os.path.join(image_path,image_name )for image_name in images_name]
    print(images_path)
    print('./output_data'+images_path[0].split('/')[2].replace(' ', '')+'.jpg')
    return images_path
"""输出图片"""
def output_path(output_path,image_path,img):
    cv2.imwrite(output_path + '/' + image_path.split('/')[2].replace(' ', ''), img)
"""黑白处理"""
def black_white(images_path,output_path):
    images_path = read_path(images_path)
    for image_path in images_path:
        img=cv2.imread(image_path)
        # img = cv2.resize(img, (64, 32), interpolation=cv2.INTER_CUBIC)
        height,width,depth=np.array(img).shape
        white=[255,255,255]
        black=[0,0,0]
        #将非白区域变白
        for i in range(height):
            for j in range(width):
                if white in img[i,j,:]:
                    pass
                else:
                    img[i,j,:]=black
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

        ret, binary = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

        cnts= cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
        # print(len(cnts))
        cnts = cnts[0] if imutils.is_cv2() else cnts[1]
        # 将轮廓按面积大小降序排序
        c = sorted(cnts, key=cv2.contourArea, reverse=True)
        #将小的区域填充成黑色
        for i in range(len(c)-1):
            x, y, w, h = cv2.boundingRect(c[i+1])
            img[y:(y + h),x:(x + w),:] = black
        # cv2.rectangle(imgsize, (x, y), (x + w, y + h), (0, 255, 0), 2)

        cv2.imwrite('./output_disk_data' + '/' + str(image_path.split('/')[2])+'.jpg', img)
        # output_path(output_path, image_path, img)
if __name__ == '__main__':
    black_white(images_path, output_path)