YIQ color space based satellite image segmentation using modified FCM clustering and histogram equalization

2014 ◽  
Author(s):  
Ganesan P ◽  
V. Rajini
Keyword(s):  
Image Segmentation ◽  
Satellite Image ◽  
Color Space ◽  
Histogram Equalization ◽  
Fcm Clustering

scholarly journals Satellite Image Segmentation Based on YCbCr Color Space

2015 ◽  
Vol 8 (1) ◽  
pp. 35 ◽  
Author(s):  
P. Ganesan ◽  
V. Rajini ◽  
B. S. Sathish ◽  
V. Kalist ◽  
S. K. Khamar Basha
Keyword(s):  
Image Segmentation ◽  
Satellite Image ◽  
Color Space ◽  
Ycbcr Color Space

A Review: Color Image Segmentation Based on Color Space

2013 ◽  
Vol 401-403 ◽  
pp. 1310-1314
Author(s):  
Meng Xin Li ◽  
Ding Ding Hou ◽  
Xing Hua Xia ◽  
Jing Jing Fan ◽  
Wei Jing Xu
Keyword(s):  
Pattern Recognition ◽  
Image Segmentation ◽  
Real Time ◽  
Color Image ◽  
Color Space ◽  
Feature Space ◽  
Color Image Segmentation ◽  
Comprehensive Understanding ◽  
Gray Image ◽  
Fcm Clustering

Abstract: While the methods of gray image segmentation keeping innovation, researches on color image segmentation have a marked development, and the gray image segmentation provides research base for color image segmentation. At present, the problem of color image segmentation has become a fundamental one and had significant impact on both new pattern recognition algorithms and applications. In order to make the research in this field has a more comprehensive understanding, In this paper, several typical approaches are presented and discussed, and expected to seek an algorithm with better real-time and robustness. algorithm combining both SOFM and FCM clustering is selected to be better in robustness, and reduce the hassle of looking for a suitable feature space.

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