Paper
11 August 1995 Important properties of 3D simplicity
Author Affiliations +
Abstract
There are two different kinds of elements in binary images: object points and background points. A simple point is an object point whose conversion to a background point does not change the connectivity of the original image. Many operations in image processing can be applied only to convert simple points to background points. Finding an efficient method for determining the simplicity of an object point is an interesting research topic. Although 2D simplicity has been extensively studied recently, more work needs to be done for 3D simplicity. This paper studies important properties of 3D simplicity which may be useful in certain operations of image processing, for example, thinning.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cherng-Min Ma "Important properties of 3D simplicity", Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); https://doi.org/10.1117/12.216435
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KEYWORDS
3D image processing

Image processing

Analog electronics

Binary data

Image segmentation

Silicon

Algorithms

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