Optimal thresholding for enhancement of low contrasted images using soft computing

Soft computing is expected to play a gradually important role in many applications as well as image enhancement. The pattern for soft computing is the human brain. The soft computing evaluation has been principally strong with fuzzy logic. The fuzzy logic is information demonstration as a rule for managing of vagueness. In this paper the Multi-Dimensional optimized problem is addressed by discussing the best possible thresholding using fuzzy entropy for Image enhancement. This technique is compared with bi-level and multi-level thresholding and obtained best possible thresholding values for different levels of speckle noisy and low contrast images. The fuzzy entropy method has formed better results compared to bi-level and multi-level thresholding techniques.