Enhancement of infrared images using triangular fuzzy membership function and truncated interval thresholding

Abstract

Image Enhancement is a preliminary step in basic image processing routines in general and is a crucial step in infrared (IR) images in specific. In most of the IR images, the target and the background fall into almost similar intensity levels. In order to increase the contrast of the target from its background, the preprocessing step is mandatory. In this paper, we proposed a fuzzy based approach for enhancing the infrared images so that the target can be detected in normal and cluttered images. The proposed method is robust and the experimental results show the efficacy of the proposed method. © 2012 Springer-Verlag.