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Contrast Enhanced for Microstructure of Steel Materials and Engine Components

This paper analyses the contrast of qualitative and quantitative of piston and steel microstructure images. A simple discrimination metric (DMHE) is developed to avoid the drawbacks of conventional histogram equalization for gray scale images. The proposed technique uses both global and local information to remap the intensity levels that help to improve the image contrast. The original histogram is divided into sub-histograms with respect to the mean value. Discrimination metrics are used so that high contrast per pixel between real image and upgraded image is obtained. The simulation results show that the proposed method performed well for mechanical component material of piston and steel microstructure images. Parameters like structural similarity index and contrast per pixel are used to analyze the image quality. Keywords-Piston and Steel microstructure, Contrast Enhancement, Two level Histogram Equalization, Discrimination Metric.