Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval

Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval

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...

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Bibliographic Details
Main Authors: Samina Bilquees, Hassan Dawood, Hussain Dawood, Nadeem Majeed, Ali Javed, Muhammad Tariq Mahmood
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:International Journal of Optics
Online Access:http://dx.doi.org/10.1155/2021/4151482

Internet

http://dx.doi.org/10.1155/2021/4151482

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