A Hybrid Scheme for Fast and Accurate Image Retrieval based on Color Descriptors

S. Chatzichristofis and Y. Boutalis (Greece)


Image Retrieval, Color Similarity, Image Processing, Fuzzy Color Histogram, Hybrid Systems.


This paper proposes a new image retrieval system, that uses only color features and it's based on a hybrid scheme which combines crisp and fuzzy techniques, in order to retrieve color based similar images. The system comprises 2 units. The first unit uses Binary Haar Wavelet Descrip tor in a histogram that has been proposed in MPEG-7. A new fuzzy-linking method of color histogram creation is also proposed, based on the HSV color space. The second unit provides this histogram and decides about the simi larity. The system is suitable for accurately retrieving im ages even in distortion cases such as deformations, noise and smoothing. It is tested on a large number of images selected from proprietary image data bases or randomly retrieved from popular search engines. The retrieval rate approximates 45 images (size of 250 X 250 pixels) per second, assuming no prior stored feature information in the searched image data bases. To evaluate the perform ance of the proposed system, objective measure called ANMRR is used.

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