Content Based Image Retrieval using Color and Texture Content
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Suresh M B, Dr.B Mohankumar Naik|
|DOI : 10.14445/22312803/IJCTT-V48P117|
Suresh M B, Dr.B Mohankumar Naik "Content Based Image Retrieval using Color and Texture Content". International Journal of Computer Trends and Technology (IJCTT) V48(2):78-84, June 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
This paper describes a hybrid feature extraction approach of our research and solution to the problem of designing a CBIR system manually. Two features are used for retrieving the images such as color and texture. Color feature is extracted by using different color space such as RGB, HSV and YCbCr. Texture feature is extracted by applying Gray Level Co-occurrence Matrix (GLCM). The image is retrieved by combining color and texture feature and the color space which gives the best result as analyzed using precision and recall graph.
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CBIR, GLCM, Image Texture, Color Spaces, Euclidean Distance, Image Retrieval, Precision, Recall.