한국정보처리학회논문지 (The Transactions of the Korea Information Processing Society)
- 제6권5호
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- Pages.1296-1302
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- 1999
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- 1226-9190(pISSN)
웨이브렛과 ART2 신경망을 이용한 실장 PCB 분류 시스템
Mounted PCB Classification System Using Wavelet and ART2 Neural Network
초록
In this paper, we propose an algorithms for the mounted PCB classification system using wavelet transform and ART2 neural network. The feature informations of a mounted PCB can be extracted from the coefficient matrix of wavelet transform adapted subband concept. As the preprocessing process, only the PCB area in the input image is extracted by histogram method and the feature vectors are composed of using wavelet transform method. These feature vectors are used as the input vector of ART2 neural network. In the experiment using 55 mounted PCB images, the proposed algorithm shows 100% classification rate at the vigilance parameter
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