| Title: | OS6-1 Histogram Analysis Method Based on Gaussian Distribution and Curvature Computation (I) ---- Peaks and Valleys Detection ---- |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 367-370 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS6-1 |
| Author(s): | Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Kazuaki Ando, Yo Horikawa, R. P. C. Janaka Rajapakse |
| Publication Date: | February 2, 2018 |
| Keywords: | Image processing, Histogram Analysis, Cumulative histogram, Curvature computation |
| Abstract: | This paper presents an analysis method of image histogram using curvature computation based on Gaussian distribution. By the image histogram and curvature computing over the cumulative histogram, we can not only detect the peaks and valleys in the image histogram, but also obtain the accompanying information on the peaks and valleys such as those shapes and sizes. In this paper, we propose the information extraction method from image histogram using the curvature computation, based on the assumption that the peaks and valleys are approximated by the same number of Gauss density functions. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS6/OS6-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.