Improved Region of Interest for Infrared Images Using Rayleigh Contrast-Limited Adaptive Histogram Equalization

This paper presents an improved approach for region of interest (ROI) extraction in infrared (IR) images using Contrast-Limited Adaptive Histogram Equalization (CLAHE). Previous approaches use global image enhancement to increase the accuracy for ROI extraction in IR images. It is shown in this paper that the performance can be increased significantly using a local enhancement approach. CLAHE is used for this purpose in this paper to facilitate local image enhancement in an efficient way. It is shown that the proposed approach improves the ROI extraction performance.

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