A simple multi-feature based stereoscopic medical image retrieval system

• Autorzy: Shaheer Abubacker K. A. , Sutha J. , Shahul Hameed K. A.

Identyfikatory

DOI

10.2478/pjmpe-2019-0017

• Języki publikacji: EN

Abstrakty

EN

This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and re-ranking of retrieved images. This method retrieves similar images of the query image from the database and re-ranks them according to the disparity map. The performance is evaluated using the metrics namely average retrieval precision (APR) and average retrieval rate (ARR). According to the performance outcomes, the multi-feature based image retrieval using Mahalanobis distance measure has produced better result compared to other distance measures namely Euclidean, Minkowski, the sum of absolute difference (SAD) and the sum of squared absolute difference (SSAD). Therefore, the stereo image retrieval systems presented has high potential in biomedical image storage and retrieval systems.

Słowa kluczowe

EN

stereoscopic image retrieval; feature extraction; similarity measure; disparity map; average retrieval precision; average retrieval rate

• Wydawca: Polskie Towarzystwo Fizyki Medycznej ; De Gruyter
• Czasopismo: Polish Journal of Medical Physics and Engineering
• Rocznik: 2019
• Tom: Vol. 25, Iss. 2
• Strony: 127--130
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Shaheer Abubacker K. A.

• Anna University, Chennai, India

autor

Sutha J.

• Department of CSE, AAA College of Engineering & Technology, Sivakasi, India

autor

Shahul Hameed K. A.

• Department of ECE, Sethu Institute of Technology, Kariapatti, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).