Paper
9 April 1993 Vectorization method based on energy minimization principle
Naoya Tanaka, Takeshi Kamimura
Author Affiliations +
Proceedings Volume 1832, Vision Geometry; (1993) https://doi.org/10.1117/12.142168
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
Vectorizing the skeleton of a binary digital image is important for recognizing drawings and maps. A new vectorization method, based on the energy minimization principle, is proposed in this paper. The method involves thinning, line segment approximation, and geometric transformation. The skeleton line, obtained after the line segment approximation process, includes shape distortion caused by thinning. In the geometric transformation process, the line segments are shifted for minimizing the value, defined in the neighbor of each corner, junction, and so on, by the smoothness and the difference between line segments and skeleton of an original image. The proposed method has an advantage of reducing the various kinds of distortions, compared with the conventional methods.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naoya Tanaka and Takeshi Kamimura "Vectorization method based on energy minimization principle", Proc. SPIE 1832, Vision Geometry, (9 April 1993); https://doi.org/10.1117/12.142168
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Distortion

Binary data

Vision geometry

Image processing

Solids

Image processing algorithms and systems

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