An image recognition method by rough classification for a scene image

被引：0
|
作者：
Ito S. [1 ,3 ]
Yoshioka M. [1 ]
Omatu S. [1 ]
Kita K. [2 ]
Kugo K. [2 ]
机构：
[1] Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai
[2] Noritsu Koki Co., Wakayama
[3] Conserve and Enhance Global Environment, Faculty of Environmental Studies, Hiroshima Institute of Technology, Hiroshima 731-5193, 2-1-1 Miyake, Saeki-ku
来源：
Artificial Life and Robotics | 2006年 / 10卷 / 2期
关键词：
Fractal dimension; Image recognition; Image segmentation; Neural network;
D O I：
10.1007/s10015-005-0353-9
中图分类号：
学科分类号：
摘要：
We have recognized the regions of scene images for image recognition. First, the proposed segmentation method classifies images into several segments without using the Euclidian distance. We need several features to recognize regions. However, they are different for chromatic and achromatic colors. The regions are divided into three categories (black, achromatic, and chromatic). In this article, we focus on the achromatic category. The averages of the intensity and the fractal dimension features of the regions in the achromatic category are calculated. We recognize the achromatic region by using a neural network with suitable features. In order to show the effectiveness of the proposed method, we have recognized the regions. © ISAROB 2006.
引用
收藏
页码：120 / 125
页数：5
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