计算机视觉
人工智能
计算机科学
分割
自适应直方图均衡化
超声波
韧带
图像分割
跟骨
直方图均衡化
直方图
生物医学工程
图像(数学)
医学
解剖
放射科
外科
作者
Vedpal Singh,Ajay Jangra,S. Parasuraman,John George,Irraivan Elamvazuthi,M.K.A. Ahamed Khan
标识
DOI:10.1109/iccic.2017.8524428
摘要
Calcaneofibular ligament is a fibrous tissue that connects calcaneus bone to fibula bone and it can be visualized using ultrasound imaging. However, due to contrast variation and inhomogeneous textured nature of calcaneofibular ligament tissues in ultrasound images, segmentation of calcaneofibular ligament is a challenging issue. A framework has been proposed for the accurate segmentation of calcaneofibular ligament form ultrasound images to address the issue. The proposed framework comprises of the following: (1) contrast enhancement using adaptive histogram equalization, (2) energy minimization using Fractional Order - Darwinian Particle Swarm Optimization, and (3) calcaneofibular ligament region extraction using Chan-Vese method. The proposed framework is not only helped in accurate segmentation of ultrasound images, it also helpful in efficient computation with lowest time.
科研通智能强力驱动
Strongly Powered by AbleSci AI