问题描述
我刚刚开始学习python中的opencv和图像分析。我想分割以下核的图像（DropBox链接）。对于某些原子核，它是细分的，对于某些原子核，它是细分的。有什么办法可以改善管道？任何帮助将是可观的。 https://www.dropbox.com/s/av238k79858hsw3/c48bit.tiff?dl=0
我尝试了以下代码：
# original code https://github.com/bnsreenu/python_for_microscopists/tree/master/other_files https://www.youtube.com/watch?v=AsTvGxuiqKs
import cv2
import numpy as np
from matplotlib import pyplot as plt
from scipy import ndimage
from skimage import measure,color,io
img = cv2.imread("c48bit.tiff")
cells=img[:,:,0]
pixels_to_um = 0.454
ret1,thresh = cv2.threshold(cells,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
kernel = np.ones((3,3),np.uint8)
opening = cv2.morphologyEx(thresh,cv2.MORPH_OPEN,kernel,iterations = 2)
from skimage.segmentation import clear_border
opening = clear_border(opening)
sure_bg = cv2.dilate(opening,iterations=10)
dist_transform = cv2.distanceTransform(opening,cv2.disT_L2,5)
print(dist_transform.max())
ret2,sure_fg = cv2.threshold(dist_transform,0.01*dist_transform.max(),0)
sure_fg = np.uint8(sure_fg)
unkNown = cv2.subtract(sure_bg,sure_fg)
ret3,markers = cv2.connectedComponents(sure_fg)
markers = markers+10
markers[unkNown==255] = 0
markers = cv2.watershed(img,markers)
img[markers == -1] = [0,255]
img2 = color.label2rgb(markers,bg_label=0)
cv2.imwrite('overlay.png',img)
解决方法
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