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Experimental Validation of Minimax Entropy Principle in Ultrasound Images

Author(s):

Neha Mehta*, Svav Prasad and Leena Arya   Pages 1 - 7 ( 7 )

Abstract:


Ultrasound imaging is one of the non-invasive imaging, that diagnoses the disease inside a human body and there are numerous ultrasonic devices being used frequently. Entropy as a well known statistical measure of uncertainty has a considerable impact on the medical images. A procedure for minimizing the entropy with respect to the region of interest is demonstrated. This new approach has shown the experiments using Extracted Region of Interest Based Sharpened image, called as (EROIS) image based on Minimax entropy principle and various filters. In this turn, the approach also validates the versatility of the entropy concept. Experiments have been performed practically on the real-time ultrasound images collected from ultrasound centers and have shown a significant performance. The present approach has been validated with showing results over ultrasound images of the Human Gallbladder.

Keywords:

non- invasive, entropy, measure of uncertainty, FRAME theory, EROIS, minimax entropy principle, gallbladder images

Affiliation:

Lingaya` S University Electronics And Communication, PH.D Scholar, ECE Department, Haryana, Lingaya` S University Electronics And Communication, PH.D Scholar, ECE Department, Haryana, ITS Engineering College, Electronics And Communication, Greater Noida, U.P



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