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Hybrid algorithm based on PSO-TLBO and FCM for Image Color Quantization

Publish place: 1st National Conference on Soft Computing
Publish Year: 1394
Type: Conference paper
Language: English
View: 435

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Link to this Paper:
https://civilica.com/doc/656704

Document National Code:

CSCG01_194

Index date: 21 October 2017

Hybrid algorithm based on PSO-TLBO and FCM for Image Color Quantization abstract

One of the most common approaches for color quantization is the use of clustering algorithms in pixel area. There are many algorithms for clustering, some of which were used for color quantization. The purposes of color quantization are displaying images on limited hardware, reduction use of storage media and accelerating image sending time. In this paper a hybrid algorithm of TLBO and PSO algorithms with FCM algorithm is proposed. The results demonstrate Superior performance of proposed algorithm incomparison with other color quantization algorithms.

Hybrid algorithm based on PSO-TLBO and FCM for Image Color Quantization Keywords:

Color Quantization , FCM , PSO Algorithm , TLBO Algorithm , Clustering

Hybrid algorithm based on PSO-TLBO and FCM for Image Color Quantization authors

S. Milad Nayyersabeti

Department of Medical Physics and Biomedical engineering, Shahid Beheshti University of Medical Sciences, Tehran, Iran

A. Mostaar

Department of Medical Physics and Biomedical engineering, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

MR. Deevband

Department of Medical Physics and Biomedical engineering, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran