A novel method for contrast enhancement of gray scale image based on shadowed sets
Meysam Alavi, Mehrdad Kargari · 2020
Image processing is considered to be one of the basic components in intelligent and decision support systems. On the other hand, improving image contrast is one of the most challenging issues in the field of image processing, pattern recognition and machine vision. This process improves understanding the information in the image for the human viewer. This is especially of great importance for medical imaging because low light intensity and high noise levels make it difficult to accurately diagnose specific diseases as well as to document and analyze them. The main motivation in image enhancement is to modify the image properties so that it is suitable for viewing and application, which can be done by removing noise, sharpening the edge and improving contrast enhancement. Due to the importance of the subject, various methods have been proposed by researchers in this field. In this paper, a new method based on shadowed sets is presented to improve image contrast. The results show that this method has acceptable accuracy and efficiency compared to other image enhancement techniques.