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Edge Enhancement of Color Image by Three-Layer Cellular Neural Network Considering Three Primary Colors
| Content Provider | Semantic Scholar |
|---|---|
| Author | Inoue, Takashi Nishio, Yoshifumi |
| Copyright Year | 2008 |
| Abstract | In this study, we propose the three-layer cel- lular neural network considering three primary colors. In our propose three-layer cellular neural network, the con- nections between the three layers play an important role. Namely, the three layers do not operate independently but all the outputs influence to the other layers. In this research, we show some edge enhancement more effectively than the original cellular neural networks by computer simulation. In this study, we concentrate on the edge enhancement of color images. Preparing the edge detection template for each layer of the RGB-CNN, we confirm that the RGB- CNN can enhance the edges of color images more effec- tively than the regular processing by using the original CNN. In Sec. 2, we propose the RGB-CNN. In Sec. 3, we show the algorithm using the RGB-CNN for the edge enhance- ment of color images. In Sec. 4, we show some computer simulated results. Section 5 concludes the article. 2. RGB-CNN |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://nlab.ee.tokushima-u.ac.jp/nishio/Pub-Data/CONF/C291.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
