Ramesh Raju 01 03 In this study Fuzzy Otsu is introduced a leading segmentation method that makes use of fuzzy logic toadvance the traditional thresholding approach The fuzzy approach overcomes visual confusion and handles noisy orfadelooking images much better than the unmodified Otsus method which finds clear divisions between classes Thesuggested process increases the difference between picture regions by maximizing the variance in fuzzy classificationto select the right thresholds Experimental results indicate that this method performs well in maintaining objectedges and details in comparison with conventional thresholding This technique enables accurate images for remotesensing and medical picture analysis Copyright (c) Journal of Engineering Technology and Sciences. All rights reserved 2026