A localization algorithm for capsule endoscopy based on feature point tracking

K. Wahid, S. Kabir, Haider Adnan Khan, Abduallh Al Helal, M. A. Mukit, R. Mostafa
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引用次数: 5

Abstract

Wireless Capsule Endoscopy (WCE) has emerged as a popular non-invasive imaging tool for inspection of human Gastrointestinal (GI) tract. In order to identify the location of an anomaly or intestinal disease, the physicians need to know the exact location of the endoscopic capsule which influences the treatment plan. In this paper, we present a displacement estimation technique based on feature point tracking which utilizes the images captured by a commercial capsule, named PillCam. The proposed displacement calculation approach is tested using a virtual testbed. Results show that, with assistance of ASIFT-RANSAC algorithms, the proposed algorithm is able to estimate the linear displacement of the endoscopic capsule with an accuracy of 93.7% on average.
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基于特征点跟踪的胶囊内窥镜定位算法
无线胶囊内窥镜(WCE)已成为一种流行的无创检查人类胃肠道的成像工具。为了确定异常或肠道疾病的位置,医生需要知道内窥镜胶囊的确切位置,这影响了治疗计划。在本文中,我们提出了一种基于特征点跟踪的位移估计技术,该技术利用了商业胶囊PillCam捕获的图像。利用虚拟试验台对所提出的位移计算方法进行了验证。结果表明,在ASIFT-RANSAC算法的辅助下,该算法能够估计出内镜囊的线性位移,平均准确率为93.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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