本文整理匯總了Python中skimage.restoration.denoise_tv_chambolle方法的典型用法代碼示例。如果您正苦於以下問題：Python restoration.denoise_tv_chambolle方法的具體用法？Python restoration.denoise_tv_chambolle怎麽用？Python restoration.denoise_tv_chambolle使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類skimage.restoration的用法示例。
在下文中一共展示了restoration.denoise_tv_chambolle方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: SaveImage
# 需要導入模塊: from skimage import restoration [as 別名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 別名]
def SaveImage(img, filename, remove_noise=0.):
logging.info('save output to %s', filename)
out = PostprocessImage(img)
if remove_noise != 0.0:
out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
io.imsave(filename, out) 示例2: SaveImage
# 需要導入模塊: from skimage import restoration [as 別名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 別名]
def SaveImage(img, filename, remove_noise=0.02):
logging.info('save output to %s', filename)
out = PostprocessImage(img)
if remove_noise != 0.0:
out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
io.imsave(filename, out) 示例3: denoise_img_vol
# 需要導入模塊: from skimage import restoration [as 別名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 別名]
def denoise_img_vol(image_vol, weight=.01):
denoised_img = slicewise_bilateral_filter(image_vol)
# denoised_img = denoise_tv_chambolle(image_vol, weight=weight, eps=0.0002, n_iter_max=200, multichannel=False)
# denoised_img = denoise_tv_bregman(image_vol, weight=1./weight, max_iter=100, eps=0.001, isotropic=True)
# print (np.linalg.norm(denoised_img-image_vol))
return denoised_img 開發者ID:mahendrakhened，項目名稱:Automated-Cardiac-Segmentation-and-Disease-Diagnosis，代碼行數:8，代碼來源:data_augmentation.py