A. Selvi*, S. Thilagamani
Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2973-2987, 2023, DOI:10.32604/iasc.2022.029850
Abstract Mammography is considered a significant image for accurate breast
cancer detection. Content-based image retrieval (CBIR) contributes to classifying
the query mammography image and retrieves similar mammographic images from
the database. This CBIR system helps a physician to give better treatment. Local
features must be described with the input images to retrieve similar images. Existing methods are inefficient and inaccurate by failing in local features analysis.
Hence, efficient digital mammography image retrieval needs to be implemented.
This paper proposed reliable recovery of the mammographic image from the database, which requires the removal of noise using Kalman filter and scale-invariant
feature transform… More >
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