Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Shape representation for image retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
A differential code for shape representation in image database applications
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A boundary-based image segmentation and representation method for binary images
A boundary-based image segmentation and representation method for binary images
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The boundary based image segmentation and representation system developed by Nobors and Ranganath has been found suitable for a wide range of image interpretation applications [10]. The segmentation system receives a thinned edge image as input and outputs a polyline for each open curve, and a polygon for each closed curve in the image. A novel representation scheme which uses both graph and tree data structures provides flexibility and permits hierarchical interpretation of the image. However, the approach does not address the effects of boundary discontinuity and distortion on the system's performance. This paper discusses these ill-effects and presents computationally efficient methods to bridge discontinuities and smooth distortions by directly post-processing the graph/tree hierarchical data structure that contains the boundary information produced by the segmentation system.