Active Contours with Term of Smoothing: Application in Medical Imaging

Riad Dib
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引用次数: 2

Abstract

The segmentation of images is to group the different pixels of the image into classes, each classgrouping similar pixels in the sense of a given criteria. The segmentation of images is, in general, verydifficult to achieve because the natural images are various, complex and the way of perceiving them variesaccording to the individuals. Because of this difficulty, several approaches have been proposed. Theapproach addressed in this article is the technique of active contours. We focus on implicit active contours;we propose an improvement for the model of Chan&Vese. The application of our method on medicalimages shown they can be a tool for the image segmentation, and thus provide an aid to diagnosis for thepractitioner.
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带平滑项的活动轮廓:在医学成像中的应用
图像的分割是将图像的不同像素分成不同的类,每个类根据给定的标准对相似的像素进行分组。一般来说,图像的分割是很难实现的,因为自然图像是多种多样的,复杂的,并且感知它们的方式因个人而异。由于这个困难,已经提出了几种方法。本文讨论的方法是活动轮廓技术。我们将重点放在隐式活动轮廓上,并对Chan&Vese模型进行了改进。该方法在医学图像上的应用表明,它们可以作为图像分割的工具,从而为医生的诊断提供帮助。
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