Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique

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

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.

Citation

Ibraheem Jabbar, S., Day, C., & Chadwick, E. K. (2019, April). Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique. Presented at International Conference on Information and Communication Technology, Baghdad, Iraq

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on Information and Communication Technology
• 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
• Public URL: https://keele-repository.worktribe.com/output/414172
• Publisher URL: https://dl.acm.org/citation.cfm?doid=3321289.3321312