本文整理汇总了Python中skimage.restoration.denoise_tv_chambolle方法的典型用法代码示例。如果您正苦于以下问题：Python restoration.denoise_tv_chambolle方法的具体用法？Python restoration.denoise_tv_chambolle怎么用？Python restoration.denoise_tv_chambolle使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类skimage.restoration的用法示例。
在下文中一共展示了restoration.denoise_tv_chambolle方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SaveImage
# 需要导入模块: from skimage import restoration [as 别名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 别名]
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
# 需要导入模块: from skimage import restoration [as 别名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 别名]
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
# 需要导入模块: from skimage import restoration [as 别名]
# 或者: from skimage.restoration import denoise_tv_chambolle [as 别名]
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 开发者ID:mahendrakhened，项目名称:Automated-Cardiac-Segmentation-and-Disease-Diagnosis，代码行数:8，代码来源:data_augmentation.py