Content Based Images Retrieval Based on HSV Color Space and GLCM

Abstract:

We propose a practical image retrieval scheme to retrieve images efficiently. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Gray Level Co-occurrence matrix to compare the images of database. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues of both the content based image retrieval system and a text based image retrieval system. Experimental results reveal that proposed scheme is better than the conventional methodologies.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4287-4290
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4287
• Online since: September 2014
• Authors: Ching Hun Su*, Huang Sen Chiu, Tsai Ming Hsieh
• Keywords: Color Sequence Coding, Gray Level Co-Occurrence Matrix, HSV Color Space

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