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In the medical world, X-ray image quality is still a serious concern. The quality of X-ray image results is represented in the X-ray image contrast range. Correction of contrast ranges can be done computationally to improve X-ray image quality. From the problem then needed a method to improve result of X-ray image quality. In this research proposed OTSU thresholding modified into the Contrast-Limited Adaptive Histogram Equalization algorithm as a substitute for cliplimit value to improve the contrast quality of X-ray Image results which will then be measured with Mean Square Error to find out how much error value is generated.

Automated Contrast Improvement of X-Ray Image Using Otsu Threshold on Contrast-Limited Adaptive Histogram Equalization Algorithm