Journal Paper

Paper Title - Ultrasound Image Quality Enhancement And Assessment Using Segmentation Technique


Abstract
The project includes the enhancement of sonographic image quality. Input would be from the database provided by the doctors and these database would be analyzed on the basis of parameters i.e receiving operating characteristic, detectability index,Kullback-Leibler divergence,signal to noise ratio,Monte carlo evaluation cellular automata algorithm.The cellular automata algorithm is used to enhance the quality of sonographic image which will help the doctor to predict that image. We will established relationship between image quality properties of developed system in order to predict the ideal performance. We will compare our result with the previous work done on sonographic image quality


Author - V. G. Dahake, M.S.Pawar, S.R.Nitnaware

Citation - V. G. Dahake   ,   M.S.Pawar   ,   S.R.Nitnaware   ,   V. G. Dahake, M.S.Pawar, S.R.Nitnaware " Ultrasound Image Quality Enhancement And Assessment Using Segmentation Technique " , International Journal of Industrial Electronics and Electrical Engineering , Volume-2,Issue-2  ( Feb, 2014 )

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| Published on 2014-06-18