Region growing segmentation optimized by evolutionary approach and Maximum Entropy-Reference-Cited by-同舟云学术

Region growing segmentation optimized by evolutionary approach and Maximum Entropy

Published:2019 Issue: Volume:151 Page:1046-1051
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Merzougui Mohammed,Allaoui Ahmad El

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Automatic seeded region growing for color image segmentation;Frank;Image and Vision Computing,2005

2. A new approach to image segmentation based on simplified region growing PCNN;Lu;Applied Mathematics and Computation,2008

3. An Image Segmentation Algorithm Research Based on Region Growth;Qiong;Journal of Software Engineering,2015

4. Allaoui et M;El;Nasri. Threshold Optimization by Genetic Algorithm for Segmentation of Medical Images by Region Growing. IJETTCS International Journal of Emerging Trends & Technology in Computer Science,2012

5. Automatic image segmentation by integrating color-based extraction and seeded region growing;Fan;IEEE Trans. Image Process.,2001

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