Threshold-Based Level Set Method of Image Segmentation

A novel medical image segmentation approach, termed as threshold-based level set approach, is presented, which combines the threshold segmentation method with the fast marching method. In this approach, the original image is firstly preprocessed by anisotropic filter in order to enhance the image ed...

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Bibliographic Details
Main Authors: Anping Xu, Lijuan Wang, Sha Feng, Yunxia Qu
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Algorithm design and analysis
fast marching method
Image edge detection
Image segmentation
Level set
Medical diagnostic imaging
Medical image segmentation
threshold segmentation
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Summary:A novel medical image segmentation approach, termed as threshold-based level set approach, is presented, which combines the threshold segmentation method with the fast marching method. In this approach, the original image is firstly preprocessed by anisotropic filter in order to enhance the image edge and filter noise, and then the threshold segmentation method is used to control the diffusion coefficient of curve within the threshold set, and finally the image is segmented by using improved fast marching method (FMM). The speed function of FMM is defined based on the statistical similarity degree of the regions. The experimental results show that this approach can improve the segmentation effect and raise the segmentation speed.
DOI:10.1109/ICINIS.2010.181