@article{oai:konan-u.repo.nii.ac.jp:00000089,
 author = {鶴谷, 泰文 and 田中, 雅博},
 issue = {1},
 journal = {甲南大学紀要. 理工学編, Memoirs of Konan University. Science and engineering series},
 month = {Jul},
 note = {110004627545, application/pdf, Our objective of this paper is to recognize the weather and time conditions based on the image analysis. The basic tool is Self-Organizing Map (SOM) by Kohonen. SOM creates a map compressed from high-dimensional data. The topological feature of the data can be preserved fairly well. The items of the feature vectors will be organized by using the knowledge of humans. Thus we can extract the compressed information that seem necessary to make judgement of weather conditions. Global and local features will be defined. Also, the color information of RGB and YCbCr will be applied to extract the feature vector. The organized map will be shown to be useful for real data that are not used for organizing the map.},
 pages = {1--16},
 title = {道路画像の環境状況を示す自己組織化マップの作成},
 volume = {52},
 year = {2005},
 yomi = {タナカ, マサヒロ}
}