Detecting the optimal active contour in the computed tomography image by using entropy to choose coefficients in energy equation

In this paper, we present the method that it uses image entropy to choose coefficients in energy equation of active contour. We calculate the entropy of the computed tomography image with each pair of tension and elastic coefficient. When the active contour is optimal, the image has minimum entropy (i.e. the image is less change). In addition to solve energy equation (the optimal problem), we use dynamic programming with constraints, these increase computed efficiency of method. They are compound conditions to detect the optimal active contour in computed tomography image.