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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A Computational Model for Boundary Detection
verfasst von : Gopal Datt Joshi, Jayanthi Sivaswamy
Erschienen in: Computer Vision, Graphics and Image Processing
Verlag: Springer Berlin Heidelberg
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Boundary detection in natural images is a fundamental problem in many computer vision tasks. In this paper, we argue that early stages in primary visual cortex provide ample information to address the boundary detection problem. In other words,
global visual primitives
such as object and region boundaries can be extracted using
local features
captured by the receptive fields. The anatomy of visual cortex and psychological evidences are studied to identify some of the important underlying computational principles for the boundary detection task. A scheme for boundary detection based on these principles is developed and presented. Results of testing the scheme on a benchmark set of natural images, with associated human marked boundaries, show the performance to be quantitatively competitive with existing computer vision approaches.