Performance evaluation of shape features

Jen-Hon Luo; Chaur-Chin Chen

doi:10.1117/12.158638

20 October 1993 Performance evaluation of shape features

Jen-Hon Luo, Chaur-Chin Chen

Proceedings Volume 2028, Applications of Digital Image Processing XVI; (1993) https://doi.org/10.1117/12.158638
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Shape recognition has a variety of applications such as the aircraft identification, character recognition, industrial part recognition, and country map discrimination. One of the most important steps is to extract optimal features to discriminate one shape from the others. This paper reviews and evaluates shape features extracted by different methods. The shape feature sets of improved moment invariants, traditional moment invariants, and Fourier descriptors by testing three sets of digital shapes: (a) Chinese symbols, (b) animal shapes, and (c) toys show that improved moment invariants and traditional moment invariants have near a perfect recognition but Fourier descriptors do not perform well. An efficient shape recognition system based on improved moment invariants is thus established and described.

Citation Download Citation

Jen-Hon Luo and Chaur-Chin Chen "Performance evaluation of shape features", Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); https://doi.org/10.1117/12.158638

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