Histogram Processing for Quality Enhancement of Industrial Videoscope Images

Abstract

The industrial Videoscope (VS) device is designed for the endoscopic inspection of professional equipment like motors, pumps, turbines, cavities in buildings and vehicle bodies, etc. The inspection process is performed during the operation of the equipment. The videoscope device gives different outputs such as images and videos. Because the images are taken during the equipment operation and may be taken in different environments, some or most output images may suffer from different imperfections such as low contrast and poor details. This paper presents an efficient proposed approach to enhance the quality and contrast of the VS images. The proposed approach is based on Contrast Limited Adaptive Histogram Equalization (CLAHE) with adaptive gamma correction by choosing the best clip limits in the CLAHE and the optimum parameter of an adaptive gamma correction transfer function. This proposal achieves an enhancement for the imperfections in the VS images based on both quantitative and qualitative metrics. Numerical results emphasize the performance enhancement with the proposed approach. Hence, it can be recommended for industrial VS systems.