Python 图像处理
Rebeca Gonzalez
Data Engineer






from skimage.restoration import inpaint# 获取掩码 mask = get_mask(defect_image)# 使用掩码对受损图像进行修补 restored_image = inpaint.inpaint_biharmonic(defect_image, mask, multichannel=True)# 显示结果图像 show_image(restored_image)
# 显示缺陷与结果图像
show_image(defect_image, '待修复图像')
show_image(restored_image, '已修复图像')



def get_mask(image):
''' 创建包含三个缺陷区域的掩码 '''
mask = np.zeros(image.shape[:-1])
mask[101:106, 0:240] = 1
mask[152:154, 0:60] = 1
mask[153:155, 60:100] = 1
mask[154:156, 100:120] = 1
mask[155:156, 120:140] = 1
mask[212:217, 0:150] = 1
mask[217:222, 150:256] = 1
return mask
Python 图像处理