12 January 1993 Improved moment invariants for shape discrimination
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Proceedings Volume 1771, Applications of Digital Image Processing XV; (1993); doi: 10.1117/12.139070
Event: San Diego '92, 1992, San Diego, CA, United States
Abstract
Moment invariants used as features for shape recognition has been widely used. The moments were computed using all the information of shape boundary associated with the interior region. This paper presents the theoretical improved moments computed based only on the shape boundary. Some invariants derived from improved moments in variation to translation, rotation, and scaling are presented. The computations of improved moment invariants based on chain code representation of a shape boundary can be done in real time. Experiments of discriminating country maps, industrial tools, and printed numerals by using improved moment invariants as features via graphical plots suggest that the improved moment invariants be good shape features close to human visual processing.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chaur-Chin Chen, Tung-I Tsai, "Improved moment invariants for shape discrimination", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139070; https://doi.org/10.1117/12.139070
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KEYWORDS
Digital image processing

Feature extraction

Image segmentation

Image processing

Visual process modeling

Fourier transforms

Information operations

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