| Title: | OS19-2 Histogram Matching Based on Gaussian Distribution Using Variance Estimation - Comparing between Curvature Computation and Regression Analysis - |
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| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 579-582 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS19-2 |
| Author(s): | Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Kazuaki Ando, Yo Horikawa, R. P. C. Janaka Rajapakse |
| Publication Date: | January 19, 2017 |
| Keywords: | Image processing, Curvature, Variance estimation, Histogram matching, HMGD |
| Abstract: | This paper describes variance estimation method comparing between regression analysis and curvature computation which is used in Histogram Matching based on Gaussian Distribution (HMGD). In the previous paper, we have described and illustrated that the variance estimation method have been considered of value for HMGD processing results. Though we have considered that histogram of original image is not always ideal. So, in this paper we propose improvement variance estimation method using regression analysis. First of all, we describe the principle of variance estimation methods using curvature computation, and regression analysis. Then, through some HMGD processing experiment, we compare between curvature computation results and regression analysis. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS19/OS19-2.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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