<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

A simple multi-feature based stereoscopic medical image retrieval system

Department of CSE, AAA College of Engineering & Technology

Department of ECE, Sethu Institute of Technology

Polish Journal of Medical Physics and Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"A simple multi-feature based stereoscopic medical image retrieval system"}

This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and...

A simple multi-feature based stereoscopic medical image retrieval system

Publié en ligne: 18 juin 2019

Pages: 127 - 130

Reçu: 11 nov. 2018

Accepté: 14 févr. 2019

DOI: https://doi.org/10.2478/pjmpe-2019-0017

Mots clés
stereoscopic image retrieval, feature extraction, similarity measure, disparity map, average retrieval precision, average retrieval rate

© 2019 K.A. Shaheer Abubacker et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A simple multi-feature based stereoscopic medical image retrieval system

Publié en ligne: 18 juin 2019

Pages: 127 - 130

Reçu: 11 nov. 2018

Accepté: 14 févr. 2019

DOI: https://doi.org/10.2478/pjmpe-2019-0017

Mots clésstereoscopic image retrieval, feature extraction, similarity measure, disparity map, average retrieval precision, average retrieval rate

© 2019 K.A. Shaheer Abubacker et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
stereoscopic image retrieval, feature extraction, similarity measure, disparity map, average retrieval precision, average retrieval rate