Segmenting microarray images using a contour-based method

A Spot Modeling Evolutionary Algorithm for Segmenting Microarray Images

A Level-Set and Gabor-based Active Contour Algorithm for Segmenting Textured Images

This paper applies the authors’ previously proposed vector valued active contour without edges model to segment textured images. The model uses a level set implementation and can detect edges without the use of gradient information, making it natural for use in textured image segmentation. Multiple Gabor transforms of the original image are used to discriminate textures. We show numerical resul...

Segmentation of WCE Images Using Fuzzy Active Contour Method

Nowadays bowel tumor becomes an eminent issue in grasping the attention of both the medical and scientific fields because of the hindrance in treating the disease. Wireless capsule endoscopy assists in diagnosing GI conditions in the small bowel. In this method an average of nearly 50,000 images are taken. Scrutinizing and evaluating all those recorded images is tedious and time consuming. Henc...

An improved contour-based thinning method for character images

Digital skeleton of character images, generated by thinning method, has a wide range of applications for shape analysis and classification. But thinning of character images is a big challenge. Removal of spurious strokes or deformities in thinning is a difficult problem. In this paper, we propose a contour-based thinning method used for performing skeletonization of printed noisy isolated chara...

A Novel Method for Segmenting Magnetic Resonance Brain Images

Medical image segmentation is an important tool in viewing and analyzing Magnetic Resonance Images (MRI) and solving variousranges of problems in medical imaging. This paper focuses the new approach to segmentation by clustering the image by Genetic Algorithm based Fuzzy C-means clustering (FCM). First segmentation can be done with the help of FCM. Fuzzy C-means can be used to segment the image...