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