شماره ركورد كنفرانس :
3835
عنوان مقاله :
Anfis and level set method for image segmentation using partial differential equation
پديدآورندگان :
Asghari Sh PhD Student, Azad University, Hamedan , Firouzdor Reza Young Researchers and Elite club, Central Tehran Branch, Islamic Azad University, Tehran , Amirfakhrian Majid Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
كليدواژه :
Image segmentation , Anfis , Evolution equations , Partial differential equation
عنوان كنفرانس :
اولين كنفرانس بين المللي مديريت، نوآوري و توليد ملي
چكيده فارسي :
In this paper, we combine nonlinear evolution equations, which appear from image segmentation using par- tial differential equation-based level set method, using Anfis (adaptive network-based fuzzy inference system). Combining both neural network and fuzzy system, and as a result, neuro-fuzzy computing techniques are used to interpolate the level set function of the evolution equation with acceptable level of accuracy. The nonlinear evolution equation is cast into ordinary differential equations and Euler’s scheme is employed.
