A variational method for the recovery of smooth boundaries

被引：37

作者：

March, R ^{[1
]}

Dozio, M ^{[1
]}

机构：

[1] UNIV PISA, DIPARTIMENTO MATEMAT APPL, I-56126 PISA, ITALY

来源：

IMAGE AND VISION COMPUTING | 1997年 / 15卷 / 09期

关键词：

active contour models; discontinuity detection; image segmentation;

D O I：

10.1016/S0262-8856(97)00002-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Variational methods for image segmentation try to recover a piecewise smooth function together with a discontinuity set which represents the boundaries of the segmentation. This paper deals with a variational method that constrains the formation of discontinuities along smooth contours. The functional to be minimized, which involves the computation of the geometrical properties of the boundaries, is approximated by a sequence of functionals which can be discretized in a straightforward way. Computer examples of real images are presented to illustrate the feasibility of the method. (C) 1997 Elsevier Science B.V.

引用

页码：705 / 712

页数：8

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