Automated Processing of Multiple-Brightness Peak Histogram Image Using Curvature and Variance Estimation
- 10.2991/jrnal.2016.3.1.13How to use a DOI?
- Image processing, Histogram, Curvature, Variance estimation, Histogram matching, HMGD
Previously, we have illustrated that the Histogram Matching based on Gaussian Distribution (HMGD) is an effective automated image processing method for obtaining a better feeling impression image. However, the simple HMGD works only for the image whose histogram has just one peak. For the image whose histogram has multiple-brightness peak, it does not work as in the case of single peak histogram image. In this paper, we propose the improved method for multiple-brightness peak (HMGD-MBP). This method can not only detect multiple peaks but also estimate the variance of Gaussian distribution at each detected peak in the image histogram, using curvature computation. This paper also presents the effectiveness of the proposed method by showing the experimental results.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Yusuke Kawakami AU - Tetsuo Hattori AU - Yoshiro Imai AU - Yo Horikawa AU - Kazuaki Ando AU - R. P. C. Janaka Rajapakse PY - 2016 DA - 2016/06/01 TI - Automated Processing of Multiple-Brightness Peak Histogram Image Using Curvature and Variance Estimation JO - Journal of Robotics, Networking and Artificial Life SP - 55 EP - 60 VL - 3 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2016.3.1.13 DO - 10.2991/jrnal.2016.3.1.13 ID - Kawakami2016 ER -