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DOI: 10.14569/IJACSA.2016.070435
PDF

Content-Based Image Retrieval for Medical Applications with Flip-Invariant Consideration Using Low-Level Image Descriptors

Author 1: Qusai Q. Abuein
Author 2: Mohammed Q. Shatnawi
Author 3: Radwan Batiha
Author 4: Ahmad Al-Aiad
Author 5: Suzan Amareen

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 4, 2016.

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Abstract: Content-Based Image Retrieval (CBIR) has recently become one of the most attractive things in medical image research. Most existing research on CBIR focused on low-level image descriptors in image retrieval, which sometimes weaken the retrieval accuracy since many relevant images are not retrieved. Limited number of researches consider flipping the image on different sides. In order to fill the knowledge gap, this research focuses on considering the flipped images in retrieval based on previously implemented system that uses low-level image descriptors. Some improvements are made on the system considering the flipped images by extracting the features of the main and flipped images. The final results showed that the proposed system outperforms the existing system. The system has proven as a powerful method in helping medical staff, physician decision makers, and students to get better results by giving wide range of needed images, and helps in reasoning and building better decisions.

Keywords: CBIR; image retrieval; feature extraction; medical images; flipped images

Qusai Q. Abuein, Mohammed Q. Shatnawi, Radwan Batiha, Ahmad Al-Aiad and Suzan Amareen, “Content-Based Image Retrieval for Medical Applications with Flip-Invariant Consideration Using Low-Level Image Descriptors” International Journal of Advanced Computer Science and Applications(IJACSA), 7(4), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070435

@article{Abuein2016,
title = {Content-Based Image Retrieval for Medical Applications with Flip-Invariant Consideration Using Low-Level Image Descriptors},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070435},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070435},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {4},
author = {Qusai Q. Abuein and Mohammed Q. Shatnawi and Radwan Batiha and Ahmad Al-Aiad and Suzan Amareen}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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