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Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
With the advancement in image capturing device, the image data is being generated in high volumes.
The challenging and important problem in image mining is to reveal useful information by grouping the images into meaningful categories.
Image retrieval is extensively required in recent decades because CBIR is regarded as one of the most effective ways of accessing visual data.
Conventionally, the way of searching the collections of digital image database is by matching keywords with image caption, descriptions and labels.
Keyword based searching method provides very high computational complexity and user has to remember the exact keywords used in the image database.
Instead, our paper proposes image retrieval system with Artificial Bee Colony optimization algorithm by fusing similarity score based on color and texture features of an image thereby achieving very high classification accuracy and minimum retrieval time.
In this scheme, the color is described by color histogram method in HSV space and texture represented by contrast, energy, entropy, correlation and local stationary over the region in an image.
The proposed Comprehensive Image Retrieval scheme fuses the color and texture feature based similarity score between query and all the database images.
The experimental results show that the proposed method is superior to keywords based retrieval and content based retrieval schemes with individual low-level features of image.
American Psychological Association (APA)
Chandrakala, D.& Sumathi, S.. 2012. Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion. ISRN Artificial Intelligence،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-471329
Modern Language Association (MLA)
Chandrakala, D.& Sumathi, S.. Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion. ISRN Artificial Intelligence No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-471329
American Medical Association (AMA)
Chandrakala, D.& Sumathi, S.. Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion. ISRN Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-471329
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471329