한국컴퓨터정보학회:학술대회논문집 (Proceedings of the Korean Society of Computer Information Conference)
- 한국컴퓨터정보학회 2008년도 제39차 동계학술발표논문집 16권2호
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- Pages.49-54
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- 2009
2D Shape Recognition System Using Fuzzy Weighted Mean by Statistical Information
- Woo, Young-Woon (Department of Multimedia Engineering, Dong-Eui University) ;
- Han, Soo-Whan (Department of Multimedia Engineering, Dong-Eui University)
- 발행 : 2009.01.08
초록
A fuzzy weighted mean method on a 2D shape recognition system is introduced in this paper. The bispectrum based on third order cumulant is applied to the contour sequence of each image for the extraction of a feature vector. This bispectral feature vector, which is invariant to shape translation, rotation and scale, represents a 2D planar image. However, to obtain the best performance, it should be considered certain criterion on the calculation of weights for the fuzzy weighted mean method. Therefore, a new method to calculate weights using means by differences of feature values and their variances with the maximum distance from differences of feature values. is developed. In the experiments, the recognition results with fifteen dimensional bispectral feature vectors, which are extracted from 11.808 aircraft images based on eight different styles of reference images, are compared and analyzed.