Question

我是Python的新手。通过对Google的一些最新研究，我发现了一个remove noise from an image程序以及如何write multiple images into a folder的程序。

对于单个图像，它正在工作，并且我得到正确的输出。但是，当我尝试对整个文件夹执行相同操作时，它显示一条错误消息

错误：（-215：声明失败）函数'cv :: connectedComponents_sub1'中的L.channels（）== 1 && I.channels（）== 1

 import matplotlib.pyplot as plt
 import cv2 
 import numpy as np
 from PIL import Image
 import PIL.ImageOps 
 import glob
 path = "C:/Users/user/Desktop/enhance/images/*.*"
 for bb,file in enumerate (glob.glob(path)):

    img = cv2.imread(file)
    ret, bw = cv2.threshold(img, 128,255,cv2.THRESH_BINARY_INV)
    connectivity = 4
    nb_components, output, stats, centroids = cv2.connectedComponentsWithStats(bw, connectivity, cv2.CV_32S)
    sizes = stats[1:, -1]; nb_components = nb_components - 1
    min_size = 50 #threshhold value for small noisy components
    img2 = np.zeros((output.shape), np.uint8)

    for i in range(0, nb_components):
        if sizes[i] >= min_size:
            img2[output == i + 1] = 255

    res = cv2.bitwise_not(img2)
 cv2.imwrite('C:/Users/user/Desktop/enhance/output_images/messigray{}.png'.format(bb), img2)

 image = Image.open('C:/Users/user/Desktop/enhance/output_images/messigray{}.png')

 inverted_image = PIL.ImageOps.invert(image)

 inverted_image.save('C:/Users/user/Desktop/enhance/output_images/out{}.png')

是否有使用python一次对多个图像进行去噪的功能

0 个答案: