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Fuzzy Techniques for Content-Based Image Retrieval

Fuzzy Techniques for Content-Based Image Retrieval

Rose Bindu Joseph P., Ezhilmaran Devarasan
Copyright: © 2018 |Pages: 24
ISBN13: 9781522557753|ISBN10: 152255775X|EISBN13: 9781522557760
DOI: 10.4018/978-1-5225-5775-3.ch003
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MLA

Rose Bindu Joseph P., and Ezhilmaran Devarasan. "Fuzzy Techniques for Content-Based Image Retrieval." Feature Dimension Reduction for Content-Based Image Identification, edited by Rik Das, et al., IGI Global, 2018, pp. 41-64. https://doi.org/10.4018/978-1-5225-5775-3.ch003

APA

Rose Bindu Joseph P. & Devarasan, E. (2018). Fuzzy Techniques for Content-Based Image Retrieval. In R. Das, S. De, & S. Bhattacharyya (Eds.), Feature Dimension Reduction for Content-Based Image Identification (pp. 41-64). IGI Global. https://doi.org/10.4018/978-1-5225-5775-3.ch003

Chicago

Rose Bindu Joseph P., and Ezhilmaran Devarasan. "Fuzzy Techniques for Content-Based Image Retrieval." In Feature Dimension Reduction for Content-Based Image Identification, edited by Rik Das, Sourav De, and Siddhartha Bhattacharyya, 41-64. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5775-3.ch003

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Abstract

Content-based image retrieval aims to acquire images from huge databases by analyzing their visual features like color, texture, shape, and spatial relationship. The search for superior accuracy in image retrieval has resulted in concentrating more on semantic gap reduction between the low-level features and high level human reasoning. Fuzzy theory is a prevailing methodology which helps in attaining this goal by using attributes and interpretations similar to human reasoning. The vagueness and impreciseness in image data and the retrieval process can be modeled by fuzzy sets. This chapter analyses fuzzy theoretic approaches in various stages of content-based image retrieval system. Various fuzzy-based feature descriptors are discussed along with different fuzzy classification and indexing algorithms for content-based image retrieval. This chapter also presents an overview of various fuzzy distance and similarity measures for image retrieval. A novel fuzzy theoretic retrieval for finger vein biometric images is also proposed in this chapter with experiment and analysis.

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