U.Sesadri1, B. Siva Sankar1, C. Nagaraju2,
1Vaagdevi Institute of Technology and Science, India and 2Yogi Vemana University, India
ABSTRACT
Soft computing is likely to play aprogressively important role in many applications including image enhancement. The paradigm for soft computing is the human mind. The soft computing critique has been particularly strong with fuzzy logic. The fuzzy logic is facts representationas a rule for management of uncertainty. Inthis paperthe Multi-Dimensional optimized problem is addressed by discussing the optimal thresholding usingfuzzyentropyfor Image enhancement. This technique is compared with bi-level and multi-level thresholding and obtained optimal thresholding values for different levels of speckle noisy and low contrasted images. The fuzzy entropy method has produced better results compared to bi-level and multi-level thresholding techniques.
KEY WORDS
fuzzy entropy, segmentation, soft computing, MAD and optimal thresholding
Original Source URL: https://airccse.org/journal/ijsc/papers/6215ijsc02.pdf
https://airccse.org/journal/ijsc/current2015.html
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