Authors
Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Yo Horikawa, Kazuaki Ando,
R. P. C. Janaka Rajapakse
Corresponding Author
Yusuke Kawakami
Available Online 1 June 2016.
DOI
https://doi.org/10.2991/jrnal.2016.3.1.13
Keywords
Image processing, Histogram, Curvature, Variance estimation, Histogram
matching, HMGD
Abstract
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.
Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).