我正在使用Skimage v0.14
我想做这段代码的反转
image[leaf_cleaned] = 0
这里我将屏蔽区域设置为0,我实际想要的是除了屏蔽区域为0或任何数字之外的所有内容。
这是我的其余代码:
image = imread('')
grey_image = rgb2grey(image)
entireLeaf = feature.canny(grey_image)
blurred = filters.gaussian(entireLeaf, sigma=0.4)
fillleaf = ndi.binary_fill_holes(blurred)
label_objects, nb_labels = ndi.label(fillleaf)
sizes = np.bincount(label_objects.ravel())
mask_sizes = sizes > 100000
mask_sizes[0] = 0
leaf_cleaned = mask_sizes[label_objects]
答案 0 :(得分:1)
如果leaf_cleaned
是布尔数组like used for masks,您可以这样做:
image[~leaf_cleaned] = 0
紧跟numpy的boolean-indexing docs。
请记住,sklearn严重依赖于numpy!所以numpy的文档经常是相关的!