Paper
9 May 2002 Thinning algorithim on 2D gray-level images
Cherng-Min Ma, Shu-Yen Wan
Author Affiliations +
Abstract
Thinning on binary images is widely discussed in the past three decades. A binary image can be obtained by thresholding a gray-level image. For preventing possible information losses in the thresholding process, it may be natural to design thinning algorithms directly on the original gray-level images. This paper proposes a two-step template-based thinning algorithm on gray-level images. The first step of the algorithm is to extract 4-connected gray-level skeletons from gray-level objects. The second step is to extract 8-connected gray-level skeletons from the consequent result of the first step.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cherng-Min Ma and Shu-Yen Wan "Thinning algorithim on 2D gray-level images", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467238
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KEYWORDS
Binary data

Image processing

Surgery

3D image processing

Fuzzy logic

Information technology

Medical imaging

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