| Title: | OS11-1 Automated Multiple-Brightness Peak Image Processing Method Using Curvature and Variance Estimation |
|---|---|
| Publication: | ICAROB2016 |
| Volume: | 21 |
| Pages: | 32-35 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2016.OS11-1 |
| Author(s): | Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Yo Horikawa, R. P. C. Janaka Rajapakse |
| Publication Date: | January 29, 2016 |
| Keywords: | Image processing, Curvature, Variance estimation, Histogram matching, HMGD |
| Abstract: | This paper describes the improvement method for the image which have multiple-brightness peak using Histogram Matching based on Gaussian Distribution (HMGD). The previous papers, we have illustrated that the HMGD is an automated image processing method for improve feeling impression better, through the comparative investigation results of feeling impression among the original image, Histogram Equalization image, and HMGD image. However, the multiple-brightness peak images have been hard to improve using the previous HMGD. In this paper, we propose the processing method of HMGD to correspond image which have multiple-brightness peak, using curvature computation and variance estimation. |
| PDF File: | https://alife-robotics.co.jp/members2016/icarob/data/papers/OS/OS11-1.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/ |
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