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2015 | OriginalPaper | Buchkapitel

Region Based Image Retrieval Using Integrated Color, Texture and Shape Features

verfasst von : Nishant Shrivastava, Vipin Tyagi

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

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Abstract

In this paper a region based image retrieval scheme has been proposed based on integration of color, texture and shape features using local binary patterns (LBP). The color and texture features are extracted using LBP histograms of quantized color image and gray level images respectively. For improving the discrimination power of LBP, threshold computed using both centre pixel and its neighbors is used. Finally, shape features are computed using the binary edge map obtained using Sobel edge detector from each block. All three features are combined to make a single completed binary region descriptor (CBRD) represented in the LBP way. To support region based retrieval a more effective region code based scheme is employed. The spatial relative locations of objects are also considered to increase the retrieval accuracy.

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Vorheriges Kapitel Single Sensor Color Filter Array Interpolation Algorithms

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Titel: Region Based Image Retrieval Using Integrated Color, Texture and Shape Features
verfasst von: Nishant Shrivastava
Vipin Tyagi
Verlag: Springer India
Buch: Information Systems Design and Intelligent Applications
Print ISBN: 978-81-322-2246-0

Electronic ISBN: 978-81-322-2247-7

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-81-322-2247-7_32

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