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Article type: Research Article
Authors: Nallasivan, G.a; * | Akshaya, V.S.b | Padmavathy, C.c
Affiliations: [a] Psn College of Engineering & Technology, Tirunelveli, Tamilnadu, India | [b] Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India | [c] Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
Correspondence: [*] Corresponding author. G. Nallasivan, Psn College of Engineering & Technology, Tirunelveli, Tamilnadu-627152, India. E-mail: Nallasivang9746@Gmail.Com.
Abstract: This Paper Deals With Image Retrieval Process Of Liver Computer Tomography (Ct) Scan Images Using Orthogonal Moment Features And Content Based Image Retrieval. Medical Images Are Useful Diagnostic Evidence As It Can Provide Vital Information In Anatomical Pathology. The Objective Is To Efficiently Retrieve Medical Images From The Database Using Orthogonal Moments And Content Based Image Retrieval Methods. The Orthogonal Moment Viz Discrete Racah Polynomial, Continuous Legendre Moments And Zernike Moments Are Computed For The Study. The Region Of Interest Based Segmentation And Watershed Segmentation Is Applied To The Preprocessed Input Images And Features Are Extracted Using Orthogonal Moments And Shape And Texture Features Are Extracted Using Content Based Image Retrieval (Cbir). The Performances Of Each Moment In Terms Of Accuracy And Error Rate Are Compared With Cbir.
Keywords: Orthogonal moment, Cbir, accuracy, Mse, Psnr
DOI: 10.3233/JIFS-221667
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 3261-3269, 2023
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