Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1995.07b
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- Pages.959-961
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- 1995
Image Classificatiion using neural network depending on pattern information quantity
패턴 정보량에 따른 신경망을 이용한 영상분류
- Lee, Yun-Jung (Dept. of Computer Science, Ewha Womans University) ;
- Kim, Do-Nyun (Dept. of Computer Science, Ewha Womans University) ;
- Cho, Dong-Sub (Dept. of Computer Science, Ewha Womans University)
- Published : 1995.07.20
Abstract
The objective of most image proccessing applications is to extract meaningful information from one or more pictures. It is accomplished efficiently using neural networks, which is used in image classification and image recognition. In neural networks, background and meaningful information are processed with same weight in input layer. In this paper, we propose the image classification method using neural networks, especially EBP(Error Back Propagation). Preprocessing is needed. In preprocessing, background is compressed and meaningful information is emphasized. We use the quadtree approach, which is a hierarchical data structure based on a regular decomposition of space.
Keywords