Python 影像處理
Rebeca Gonzalez
Data Engineer






from skimage.restoration import inpaint# 取得遮罩 mask = get_mask(defect_image)# 使用遮罩對受損影像進行修補 restored_image = inpaint.inpaint_biharmonic(defect_image, mask, multichannel=True)# 顯示結果影像 show_image(restored_image)
# 顯示受損與修復後影像
show_image(defect_image, 'Image to restore')
show_image(restored_image, 'Image restored')



def get_mask(image):
''' Creates mask with three defect regions '''
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 影像處理