A texture based image retrieval approach using Self-Organizing Map pre-classification

Author

Rahimi, Mohammad ; Moghadam, Mohsen Ebrahimi

Author_Institution

Electr. & Comput. Eng. Dept., Shahid Beheshti Univ., Tehran, Iran

fYear

2011

fDate

14-17 Dec. 2011

Firstpage

415

Lastpage

420

Abstract

The content based color image retrieval has great interest nowadays. In this paper, we have proposed a new approach for such systems. The proposed approach employs two main phases in train and test. At the first phase, color features are extracted based on RGB color space and texture are represented by Texton. In the second phase, the images are clustered based on extracted features using a Self-Organizing Map (SOM) neural network, the experimental results showed the method performance versus related works.

Keywords

content-based retrieval; feature extraction; image classification; image colour analysis; image retrieval; image texture; pattern clustering; self-organising feature maps; RGB color space; SOM neural network; Texton; color feature extraction; content based color image retrieval; image clustering; self-organizing map neural network; self-organizing map pre-classification; texture based image retrieval approach; Color; Feature extraction; Image color analysis; Image retrieval; Neurons; Vectors; Visualization; Texton detection; clustering; color Image retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on

Conference_Location

Bilbao

Print_ISBN

978-1-4673-0752-9

Electronic_ISBN

978-1-4673-0751-2

Type

conf

DOI

10.1109/ISSPIT.2011.6151598

Filename

6151598