Comparison of Content Based Image Retrieval System Using Wavelet Transform

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)


The large numbers of images has posed increasing challenges to computer systems to store and manage data effectively and efficiently. This paper implements a CBIR system using different feature of images through four different methods, two were based on analysis of color feature and other two were based on analysis of combined color and texture feature using wavelet coefficients of an image. To extract color feature from an image, one of the standard ways i.e. color histogram was used in YCbCr color space and HSV color space. Daubechies’ wavelet transformation and Symtels’ wavelet transform were performed to extract the texture feature of an image. After obtaining all experimental results, it has been inferred that wavelet based method gave a better performance as compared to color based method.


CBIR wavelet transformation Color histogram YCbCr HSV 


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringBirla Institute of Technology, MesraRanchiIndia

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