Local Histogram Equalization Based on OTSU

Abstract

Histogram equalization is a precondition for an accurate extraction of image features. This paper is to find an appropriate image enhancement method for images with bad contrast features and small target regions. In two different application cases, by analyzing and comparing the results and gray value features, three local histogram equalization methods based on gray segment are evaluated. The local histogram equalization method based on OTSU is then proved to be good in considering its property of emphasizing details while ensuring the overall image’s uniformity.