Contribution of Active Contour Approach to Image Understanding

Arkadiusz Tomczyk, P. Szczepaniak
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引用次数: 12

Abstract

The paper proposes a formal, though a simple, model of the activity of human vision system. That model serves as a reference point for description of relational and contextual recognition and allows to formulate a definition of image understanding problem. As a potential solution of that problem active contour methods are proposed, which do not possess some limitations of classic recognition algorithms. Moreover, they can be used not only as methods of construction of contextual pixel classifiers, but also as methods of identification of relations between any arbitrary more complicated structures (concepts).
主动轮廓法对图像理解的贡献
本文提出了一个形式化的、虽然简单的人类视觉系统活动模型。该模型可作为描述关系识别和上下文识别的参考点,并允许制定图像理解问题的定义。作为该问题的一种潜在解决方案,主动轮廓法克服了传统识别算法的局限性。此外,它们不仅可以作为构建上下文像素分类器的方法,还可以作为识别任意更复杂的结构(概念)之间关系的方法。
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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