Segmentation and feature extraction to evaluate the stomach dynamic

M. Benjelloun
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引用次数: 1

Abstract

Our work is motivated by a practical application of motion study induced by breathing in the abdomen under the influence of diaphragm pressure. In this article, we present an image processing method to analyze the motion of the stomach between expiration and inspiration. Our approach is based on a preliminary edge detection. To extract useful information, we propose two techniques lying respectively on filling and active contour algorithms. The results of both methods are analysed and compared to those obtained manually. In order to improve the results and to overcome the limitations of the proposed edge detector, an edge closing method based on a polynomial contour fitting is applied.
分割和特征提取来评价胃的动态
我们的工作是由一个实际应用的运动研究的动机在膈压力的影响下在腹部呼吸引起的。在本文中,我们提出了一种图像处理方法来分析胃在呼气和吸气之间的运动。我们的方法是基于初步的边缘检测。为了提取有用的信息,我们提出了两种技术,分别是填充算法和活动轮廓算法。对两种方法的计算结果进行了分析,并与人工计算结果进行了比较。为了改进检测结果并克服所提出的边缘检测器的局限性,提出了一种基于多项式轮廓拟合的边缘闭合方法。
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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