将图像背景设置为 0 - Skimage
Set background of image to 0 - Skimage
我正在使用 Skimage v0.14
我想对这段代码做逆运算
image[leaf_cleaned] = 0
这里我将遮蔽区域设置为0,我真正想要的是除遮蔽区域之外的所有内容都为0,或任何数字。
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]
如果 leaf_cleaned
是 boolean-array like used for masks,你可以这样做:
image[~leaf_cleaned] = 0
在 numpy 的 boolean-indexing docs.
之后
请记住,sklearn 很大程度上基于 numpy!所以 numpy 的文档通常是相关的!
我正在使用 Skimage v0.14
我想对这段代码做逆运算
image[leaf_cleaned] = 0
这里我将遮蔽区域设置为0,我真正想要的是除遮蔽区域之外的所有内容都为0,或任何数字。
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]
如果 leaf_cleaned
是 boolean-array like used for masks,你可以这样做:
image[~leaf_cleaned] = 0
在 numpy 的 boolean-indexing docs.
之后请记住,sklearn 很大程度上基于 numpy!所以 numpy 的文档通常是相关的!