Analysis of CT Liver Images Using Level Sets with Bayesian Analysis-A Hybrid Approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Computer tomography images are widely used in the diagnosis of liver tumor analysis because of its faster acquisition and compatibility with most life support devices. Accurate image segmentation is very sensitive in the field of medical image analysis. Active contours plays an important role in the area of medical image analysis. Active contour based tumor segmentation using classical level set methods easily suffer from deficiency in the presence of noise and other significant edges adjacent to the real boundary. This problem has not been effectively solved in the medical image analysis scenario. In this paper, we propose an improved energy function to tackle this problem by continuously rectifying the deviation of the level set function according to the signed distance function. This is achieved using an expectation-maximization algorithm. Experimental work shows the proposed framework outperforms the classical level set algorithms in accuracy and efficiency of image segmentation.
Authors and Affiliations
Sajith A. G, Dr. Hariharan S
A Load Balancing Model for Job Scheduling using Graph Theory and Allocation of Time
The limited number of resource and unlimited number of user in cloud environment creates the issue of load balancing. The overload number of job in cloud creates the situation of cloud resource overloading. In cloud res...
Implementation of FBMC with Parallel Algorithms for High Performance Spectrum Sensing and Transmitting
In recent years, filter bank multicarrier (FBMC) has recaptured widespread interests for its possible applications in cognitive radio and dynamic spectrum access. A distinctive feature for cognitive radio is its adaptiv...
Thermal Performance of Modified V-Trough Solar Water Heater
There are various types of solar water heater system available in the commercial market to fulfil different customers’ demand, such as flat plate collector, concentrating collector, evacuated tube collector and integrat...
slugResearch on Saliency Detection
Saliency detection means detecting visually attracted regions in images. It is an aspect of exploring visual attention from a computer vision viewpoint. The human pays unequal attention to what is seen in the world. Whe...
Introduction To Artificial Intelligence.
Artificial Intelligent is simulating the human brain in real time, complete with artificial consciousness and artificial general intelligence, whereas the "mechanisms of knowledge representation in the brain which is eq...