A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
IMAGE PROCESSING TECHNIQUE FOR THYROID USING IMPROVED HILL CLIMBING ALGORITHM
2022
Zenodo
Image segmentation is a fundamental and challenging task in image processing and computer vision. The color image segmentation is attracting more attention due to the color image provides more information than the gray image. In this paper, we propose a variation model based on a convex K-means approach to segment color images. The proposed variation method uses a combination of l1 and l2 regularizes to maintain edge information of objects in images while overcoming the staircase effect.
doi:10.5281/zenodo.6790412
fatcat:35pqypyqejhehefdelrsrnpisi