Flat EEG image enhancement via fuzzy contrast enhancement techniques

The primary objective of this work is to enhance the quality of Flat EEG image by improving the indistinct boundaries of epileptic foci within the images. The proposed algorithm integrates an intuitionistic fuzzy-based approach with two non-fuzzy methods, namely Power Law Transformation and Image Size Dependent Normalization. Initially, the original image undergoes fuzzification to convert it into a fuzzy image. Next, the intuitionistic fuzzification is applied to the image, which is then defuzzified to convert it to grayscale. The revised method improves findings by reducing the ambiguous boundaries in Flat EEG images.