| Title: | OS19-1 Histogram Matching Based on Gaussian Distribution Using Regression Analysis Variance Estimation |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 575-578 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS19-1 |
| 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 an improvement method for variance estimation which is used in Histogram Matching based on Gaussian Distribution (HMGD). In the previous papers, based on curvature computation, we have described that how to estimate the variance of reference histogram, which is used in HMGD processing. However, we have considered that the histogram of original image is not always ideal shape. And the variance estimation method based on curvature computation might not have high reliability. In this paper, we propose improvement variance estimation method using regression analysis. As for the method, first, we detect the histogram peak of original image by using curvature computation; next, we perform regression analysis using approximation formula of curvature. Then, we illustrate processing results through some experimentation. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS19/OS19-1.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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