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Approaches for Image Database Retrieval Based on Color, Texture, and Shape Features

Approaches for Image Database Retrieval Based on Color, Texture, and Shape Features

Kratika Arora, Ashwani Kumar Aggarwal
Copyright: © 2018 |Pages: 23
ISBN13: 9781522528487|ISBN10: 1522528482|EISBN13: 9781522528494
DOI: 10.4018/978-1-5225-2848-7.ch002
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MLA

Arora, Kratika, and Ashwani Kumar Aggarwal. "Approaches for Image Database Retrieval Based on Color, Texture, and Shape Features." Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing, edited by Md. Imtiyaz Anwar, et al., IGI Global, 2018, pp. 28-50. https://doi.org/10.4018/978-1-5225-2848-7.ch002

APA

Arora, K. & Aggarwal, A. K. (2018). Approaches for Image Database Retrieval Based on Color, Texture, and Shape Features. In M. Anwar, A. Khosla, & R. Kapoor (Eds.), Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing (pp. 28-50). IGI Global. https://doi.org/10.4018/978-1-5225-2848-7.ch002

Chicago

Arora, Kratika, and Ashwani Kumar Aggarwal. "Approaches for Image Database Retrieval Based on Color, Texture, and Shape Features." In Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing, edited by Md. Imtiyaz Anwar, Arun Khosla, and Rajiv Kapoor, 28-50. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2848-7.ch002

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Abstract

With an ever-increasing use and demand for digital imagery in the areas of medicine, sciences, and engineering, image retrieval is an active research area in image processing and pattern recognition. Content-based image retrieval (CBIR) is a method of finding images from a huge image database according to persons' interests. Content-based here means that the search involves analysis of the actual content present in the image. As the database of images is growing day by day, researchers/scholars are searching for better techniques for retrieval of images with good efficiency.This chapter first gives an overview of the various image retrieval systems. Then, the applications of CBIR in various fields and existing CBIR systems are described. The various image content descriptors and extraction methods are also explained. The main motive of the chapter is to study and compare the features that are used in Content Based Image Retrieval system and conclude on the system that retrieves images from a huge database with good precision and recall.

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