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Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique

Ibraheem Jabbar, Shaima; Day, Charles; Chadwick, Edward K.

Authors

Shaima Ibraheem Jabbar

Edward K. Chadwick



Abstract

Panoramic Musculoskeletal Ultrasound Images (PMUI) is a developed version of ultrasound images. However, low contrast is a concrete problem which impact negatively on the interpretation of important details of PMUI. Therefore, in this paper a new automated contrast enhancement method was presented and examined on the PMUI. A fuzzy technique is the main tool underpinning this method, and it consists of three steps: fuzzification, modification of membership equation and defuzzification. Maximum fuzzy entropy of PMUI was used to optimize parameters of the membership function. The quality of results was examined using quantitative metrics. Based on these assessment metrics, the performance of the fuzzy technique outperforms the performance of other method with 21%. The results achieved are very effective and could be used for preprocessing in computer vision applications.

Conference Name International Conference on Information and Communication Technology
Conference Location Baghdad, Iraq
Start Date Apr 15, 2019
End Date Apr 16, 2019
Acceptance Date Apr 15, 2019
Publication Date Apr 16, 2019
Publisher Association for Computing Machinery (ACM)
Pages 228–232
Book Title ICICT '19: Proceedings of the International Conference on Information and Communication Technology
ISBN 978-1-4503-6643-4
DOI https://doi.org/10.1145/3321289.3321312
Keywords Panoramic Musculoskeletal Ultrasound image, Contrast Enhancement, Fuzzy Image Technique
Publisher URL https://dl.acm.org/citation.cfm?doid=3321289.3321312

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