A coupling segmentation method based on CV model for highnoise image
Year: 2017
Journal of Information and Computing Science, Vol. 12 (2017), Iss. 2 : pp. 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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22489
Journal of Information and Computing Science, Vol. 12 (2017), Iss. 2 : pp. 130–140
Published online: 2017-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 11