Histogram Generation from the HSV Color Space Using Saturation Projection

Histogram Generation from the HSV Color Space Using Saturation Projection

Shamik Sural (Indian Institute of Technology, India)
Copyright: © 2004 |Pages: 13
DOI: 10.4018/978-1-59140-156-8.ch005
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Abstract

In this chapter, we make an in-depth analysis of the visual properties of the HSV (Hue, Saturation, Intensity Value) color space and describe a novel histogram generation technique for color feature extraction. In this new approach, we extract a pixel feature by choosing relative weights of hue and intensity based on the saturation value of the pixel. The histogram retains a perceptually smooth color transition between its adjacent components that enables us to do a window-based smoothing of feature vectors for the purpose of effective retrieval of similar images from very large databases. The results have been compared with a standard histogram generated from the RGB color space and also with a histogram similar to that used in the QBIC system (Niblack et al., 1993).

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