Brain Tissues Segmentation in MR Images based on Level Set Parameters Improvement
Brain Tissues Segmentation in MR Images based on Level Set Parameters Improvement Mohammad masoud Javidi 1 , Majid Hajizade 1 and Mehdi Jafari Shahbazi 2 1 Shahid Bahonar University of Kerman, Iran and 2 Islamic Azad University, Iran Abstract This paper presents a new image processing technique for brain tissue segmentation, precisely,in order to recognize brain diseases. Automatic level set(ALS) is a powerful method for segmenting brain tissues in MR images that uses spatial Fuzzy C-Means (SFCM) to set initial contour near the object’s boundaries in order to increasing the speed of algorithm. Themethod efficiency depends on selecting the optimized amounts of controlling parameter. In this paper, the ALSis improved by optimal regulating of controlling parameters. The proposedmethod contains two phases. In the first phase,the initial contour of ALS determined via the SFCM and image features are extracted. Then, the optimal controlling par...