Effects of Quaghistogram on Image Retrievl and Clustering

Provided by: Technomathematics Research Foundation
Topic: Software
Format: PDF
Availability of huge image datasets and requirement of employing them causes necessity of effective methods for managing them. Extracting efficient features from images is one of the most important requirements in managing techniques such as image retrieval, indexing, classification, clustering and etc. Identifying the descriptive and discriminatory features is valuable and essential. In this paper, a color feature is proposed called QuadHistogram and the authors use it for image retrieval and clustering. QuadHistogram incorporates qudtree decomposition and color histogram.

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