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Color Segmentation to Identify the Objects


Affiliations
1 Department of Computer Science and Engineering, Kalaivani College of Technology, Coimbatore, India
2 School of Civil Engineering, Karunya University, Coimbatore, Tamilnadu, India
     

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Image processing act as a vital role in day to activites, here in this article aim is to produce the good colour segmentation method to produce cluster objects with segmentation Excellent method of color image clustering and its very useful, also automated segmentation using color image segmentation among soft segments. In the methods that are used to automatically updating geographical information system using based on colors and k-means clustering methods. This   (k-means clustering algorithm) is very useful technique in noise removing concepts. Normalization methods are also used in the image clustering techniques.

Keywords

Spatial Resolution, Image Segmentation, K-Means, Satellite Image, Pixels, Comma.
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  • Color Segmentation to Identify the Objects

Abstract Views: 222  |  PDF Views: 2

Authors

S. Prabhu
Department of Computer Science and Engineering, Kalaivani College of Technology, Coimbatore, India
D. Tensing
School of Civil Engineering, Karunya University, Coimbatore, Tamilnadu, India

Abstract


Image processing act as a vital role in day to activites, here in this article aim is to produce the good colour segmentation method to produce cluster objects with segmentation Excellent method of color image clustering and its very useful, also automated segmentation using color image segmentation among soft segments. In the methods that are used to automatically updating geographical information system using based on colors and k-means clustering methods. This   (k-means clustering algorithm) is very useful technique in noise removing concepts. Normalization methods are also used in the image clustering techniques.

Keywords


Spatial Resolution, Image Segmentation, K-Means, Satellite Image, Pixels, Comma.