A wavelet relational fuzzy C-means algorithm for 2D gel image segmentation.

ABSTRACT: One of the most famous algorithms that appeared in the area of image segmentation is the Fuzzy C-Means (FCM) algorithm. This algorithm has been used in many applications such as data analysis, pattern recognition, and image segmentation. It has the advantages of producing high quality segmentation compared to the other available algorithms. Many modifications have been made to the algorithm to improve its segmentation quality. The proposed segmentation algorithm in this paper is based on the Fuzzy C-Means algorithm adding the relational fuzzy notion and the wavelet transform to it so as to enhance its performance especially in the area of 2D gel images. Both proposed modifications aim to minimize the oversegmentation error incurred by previous algorithms. The experimental results of compar

SUBMITTER: Rashwan S 

PROVIDER: S-EPMC3794507 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature