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Image Retrieval Using Normalized Histogram Distance in HSV Color Model

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M.Kom, Arif Rahman Image Retrieval Using Normalized Histogram Distance in HSV Color Model. [Artikel Dosen]

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Abstract

Color is one of features that used in image retrieval systems. Pixel color distribution in an image can be represented by a color histogram. Similarity degree between images determined by calculate the distance of histogram. Images with smaller value of histogram distance should be considered more similar than the images that have greater distance value. For color images, histogram distance is calculated for each color component. In this research HSV color model is used. Each color component is quantized into 128, 64 and 64 levels respectively. H color component has more number of levels than the other, because it has biggest influence for human eye’s perception to colors. A number of pixels in images are very diverse, so the histogram should be normalized in order to be invariant to the image size. Normalization is done by divide the number of pixels for each level with total number of pixels in the image. Image retrieval results are ranked based on histogram distance value.

Item Type: Artikel Dosen
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Arif Rahman
Date Deposited: 09 Apr 2018 09:45
Last Modified: 09 Apr 2018 09:45
URI: http://eprints.uad.ac.id/id/eprint/10122

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