2021
DOI: 10.1155/2021/4151482
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Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval

Abstract: In a world of multimedia information, where users seek accurate results against search query and demand relevant multimedia content retrieval, developing an accurate content-based image retrieval (CBIR) system is difficult due to the presence of noise in the image. The performance of the CBIR system is impaired by this noise. To estimate the distance between the query and database images, CBIR systems use image feature representation. The noise or artifacts present within the visual data might confuse the CBIR… Show more

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References 48 publications
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