Title :
A Method of Color Image Segmentation Based on DPCNN
Author :
Li, Yonggang ; Yin, Haiming ; Shi, Meihong ; Yue, Guangxue
Author_Institution :
Comput. Applic. Res. Lab., Jiaxing Univ., Jiaxing
Abstract :
A method of color image segmentation is proposed based on double pulse-coupled neural networks (DPCNN) in this paper. First, color quantization is performed on the color images in the HSI color pattern. Then the method uses the result of color quantization as the input of DPCNN to form the initial segmented regions. Finally, the initial regions are merged based on the region distance defined by the color and spatial information. A rule here is given to decide the termination of merging process. The method can segment image edge properly and effective which is shown by the experiment results.
Keywords :
image colour analysis; image segmentation; neural nets; quantisation (signal); DPCNN; HSI color pattern; color image segmentation; color quantization; double pulse-coupled neural networks; Clustering algorithms; Colored noise; Image color analysis; Image edge detection; Image processing; Image segmentation; Neural networks; Quantization; Roentgenium; Space technology; Color Image Segmentation; Color quantization; DPCNN;
Conference_Titel :
Cyberworlds, 2008 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-3381-0
DOI :
10.1109/CW.2008.142
