Question

我无法让skimage函数在Python上使用mark_boundaries创建轮廓蒙版

import skimage.segmentation as seg
import skimage.color as color
from skimage import restoration
from skimage import img_as_float
%matplotlib inline

image=io.imread('C:\\...\\...\\input.png')
im_float  =  img_as_float ( image )
im_denoised = restoration.denoise_nl_means(im_float, h=0.05)
plt . imshow ( im_denoised ,  cmap = 'gray' )
def image_show(image, nrows=1, ncols=1, cmap='gray'):
    fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(25, 14))
    ax.imshow(image, cmap='gray')
    ax.axis('off')
    return fig, ax
image_show(color.label2rgb(image_slic,im_denoised,kind='avg'))
image_felzenszwalb=seg.felzenszwalb(im_denoised)
image_felzenszwalb_colored=color.label2rgb(image_felzenszwalb,im_denoised,
                                           kind='avg')
image_show(image_felzenszwalb_colored)

#mark_boundaries

mask=seg.mark_boundaries(image_felzenszwalb_colored,label_img 
                         ('segmentation_mask'), 
                         color=1,1,1),background_label=None)

我收到了：

〜\ Anaconda3 \ envs \ py37 \ lib \ site-packages \ skimage \ segmentation \ boundaries.py在find_boundaries中（label_img，连接性，模式，背景）156 [False，True，True，False，False]]，dtype = bool）157“”“-> 158，如果label_img.dtype =='bool'：159 label_img = label_img.astype（np.uint8）160 ndim = label_img.ndim AttributeError：'str'对象没有属性'dtype < / p>

怎么了？

将mark_boundaries应用于分割图像上的轮廓

0 个答案: