A color image segmentation algorithm by integrating watershed with automatic seeded region growing and merging

2011 ◽  
Author(s):  
Guoxiong Xu ◽  
Yingmin Bu ◽  
Liqiang Wang ◽  
Hongfeng Li
Keyword(s):  
Image Segmentation ◽  
Color Image ◽  
Region Growing ◽  
Segmentation Algorithm ◽  
Color Image Segmentation ◽  
Seeded Region Growing ◽  
Image Segmentation Algorithm

Color Image Segmentation Based on Self-Organizing Maps

2011 ◽  
Vol 214 ◽  
pp. 693-698
Author(s):  
Rui Geng
Keyword(s):  
Image Segmentation ◽  
Optimization Problems ◽  
Color Image ◽  
Optimal Solution ◽  
Implementation Process ◽  
Segmentation Algorithm ◽  
Color Image Segmentation ◽  
Combinatorial Optimization Problems ◽  
Bee Colony ◽  
Image Segmentation Algorithm

The colony intellectual behavior performed by many organisms in nature can solve various kinds of problems on scientific and technological research. Bees are a socialized insect colony, which perform different types of activities according to their different divisions of labor, and achieve information sharing and exchanges among the bee colony to find the optimal solution for problems. According to this characteristic, researchers have proposed the algorithm of bee colony for solving combinatorial optimization problems. In this paper, it will describe the implementation process of such an image segmentation algorithm, and the result shows that this method is a potential image segmentation algorithm.

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