1998年
遺伝的アルゴリズムとニューラルネットワークを用いた情景画像からの交通標識認識
日本機械学会論文集. C編
- ,
- 巻
- 64
- 号
- 625
- 開始ページ
- 3496
- 終了ページ
- 3502
- 記述言語
- 日本語
- 掲載種別
- DOI
- 10.1299/kikaic.64.3496
- 出版者・発行元
- 一般社団法人日本機械学会
We present a new technology for recognition of traffic signs in a scene image using genetic algorithms and neural networks. Although human beings have an excellent faculty of pattern recognition, the process of pattern recognition has not yet been clarified. Numerous studies have been conducted to realize computer vision similar to that of humans using image processing technology. However, if factors such as position, size, and background of objects are not distinct in the image, the recognition is difficult. In this study, by application of genetic algorithms, a new method is proposed for recognition of objects from a scene image using only the brightness. First, the original image is converted to binary image using a smoothing filter and a laplacian filter. Then, we locate the traffic sign using the proposed genetic algorithm by analyzing both position and size information. Next, the second traffic sign is detected by convergence condition of individual. Finally, we use neural networks to identify the detected traffic sign. These experimental results shows that the new technology proposed here is capable of recognition of traffic signs from a scene image.
- リンク情報
- ID情報
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- DOI : 10.1299/kikaic.64.3496
- ISSN : 0387-5024
- ISSN : 1884-8354
- CiNii Articles ID : 110002383994
- CiNii Books ID : AN00187463