Active contours that grow and compete driven by local region descriptors

Cristina Darolti; Erhardt Barth; Christoph Bodensteiner; Ulrich G. Hofmann

doi:10.1117/12.805983

10 February 2009 Active contours that grow and compete driven by local region descriptors

Cristina Darolti, Erhardt Barth, Christoph Bodensteiner, Ulrich G. Hofmann

Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72450F (2009) https://doi.org/10.1117/12.805983
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Region-based active contours are a variational framework for image segmentation. It involves estimating the probability distributions of observed features within each image region. Subsequently, these so-called region descriptors are used to generate forces to move the contour toward real image boundaries. In this paper region descriptors are computed from samples within windows centered on contour pixels and they are named local region descriptors (LRDs). With these descriptors we introduce an equation for contour motion with two terms: growing and competing. This equation yields a novel type of AC that can adjust the behavior of contour pieces to image patches and to the presence of other contours. The quality of the proposed motion model is demonstrated on complex images.

Citation Download Citation

Cristina Darolti, Erhardt Barth, Christoph Bodensteiner, and Ulrich G. Hofmann "Active contours that grow and compete driven by local region descriptors", Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72450F (10 February 2009); https://doi.org/10.1117/12.805983

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