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"Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform"
Author(s) -
D. Ashok Kumar,
J. Esther
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2199-2793
Subject(s) - content based image retrieval , computer science , artificial intelligence , pattern recognition (psychology) , gabor filter , image retrieval , feature (linguistics) , gabor wavelet , image texture , computer vision , histogram , histogram equalization , feature extraction , image (mathematics) , image processing , wavelet transform , wavelet , discrete wavelet transform , linguistics , philosophy
Content-Based Image Retrieval (CBIR), also known as query by image content (QBIC) Content-based image retrieval (CBIR) system helps users to retrieve relevant images based on their contents. Content Based Image Retrieval (CBIR) technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. In this paper, we compare the several feature extraction techniques viz., Gabor, Wavelet and Histogram over color and texture features applied in a novel way for color image and used for CBIR. The experiments which show that the Gabor filters advice promising results are reported. General Terms Image Processing, CBIR.

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