Content Based Image Retrieval: Using Edge Detection Method

P. John Bosco and S. K. V. Jayakumar
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P. John Bosco: Pondicherry University, Banking Technology
S. K. V. Jayakumar: Pondicherry University, Banking Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1239-1247 from Springer

Abstract: Abstract Content-Based Image Retrieval task is still a challenging problem, Edge Detection method is an important role in image processing and big challenge task in feature extraction which can be fundamental problem in image analysis. Edge detection methods are a strong feature for characterizing an image. In this approach to make robust techniques for extracting edge pixels by edge feature detection, we propose a Multiple Edge Detection (MED) frame work for image re-ranking. In this approach multi-edge detection techniques like Roberts, Sobel, Prewitt, Canny, LoG (Laplacian of Gaussian) etc., of an image which are followed by combined edge feature using gray level as well as shape information of edges map. Our aim is to maximize the image retrieval combined edge detection methods which promote more relevant re-ranking image results. The experimental results proved the efficiency of the proposed method.

Keywords: Multiple edge detection (MED); Feature extraction; Roberts; Sobel; Laplacian of Gaussian (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_125

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DOI: 10.1007/978-3-030-41862-5_125

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