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Image Retrieval using Wavelet Transform and Color Histogram


Ms. Priya R. Kharche , SSGMCE, Shegaon, Maharashtra, India; Prof. D. R. Dhotre, SSGMCE, Shegaon, Maharashtra, India; Dr. G. R. Bamnote, PRMITR, Badnera, Maharashtra, India


CBIR, Color Histogram, Energy Level, Euclidean Distance, HSV, Texture, Wavelet Transform


In many application areas such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem materializes when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. This paper proposes a technique to retrieve images based on color feature using histogram and texture feature using wavelet transform. The color from image is extracted by quantifying the HSV color space into 8x8x8 histogram. In this retrieval system, Euclidean distance is used to measure similarity of images. This algorithm is tested by using WANG image database. The performance of retrieval system is measured in terms of its recall and precision.

Other Details

Paper ID: IJSRDV4I20782
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 975-979

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