@Article{JICS-12-130,
author = {Kai Cai},
title = {A coupling segmentation method based on CV model for highnoise image},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {2},
pages = {130--140},
abstract = {For image segmentation methods, a clear image is often the object. High-quality segmentation is 
possible in many experiments. However, in the actual image, noise is inevitable. Many segmentation methods 
for  high-noise  images  are  not  satisfactory.  This  paper  puts  forward  a  method  of  image  coupling  denoising 
and  segmentation  for  high-noise  image.  A  new  variational  model  is  adopted,  then  the  denoised  image  is 
segmented  using the improved CV  model.  The numerical  calculation uses  multiple directions difference to 
approximate the partial derivative, obtaining a rapid and stable effect. The experimental results show that the 
proposed coupling denoising and segmentation method could demonstrate validity. Where the image’s, high 
noise is concerned, segmentation is obviously superior to the Li’s[15] model. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22489.html}
}