Based on LBF Model of Adaptive Distance Keeping Level Set Evolution on Medical Image Segmentation

Li Nan Fan; Wen Jie Ou; Shen Shen Sun

doi:10.4028/www.scientific.net/AMM.333-335.984

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A License Plate Character Segmentation Method Based on Character Contour and Template Matching
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Design and Implementation of High Speed Image Data Protocol Conversion System
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Based on LBF Model of Adaptive Distance Keeping Level Set Evolution on Medical Image Segmentation
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A Fast Annotation Model Based on Visual Concept Distribution
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A Robustness Watermarking Algorithm for Digital Color Image Print-Scan Process
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Lung Parenchyma Segmentation Based on Contourlet Transform and Harris Corner Detection
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Digital Image Processing and Coordinate Transformation for Vic-3D System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Based on LBF Model of Adaptive Distance Keeping...

Based on LBF Model of Adaptive Distance Keeping Level Set Evolution on Medical Image Segmentation

Abstract:

Because LBF model is sensitive to the initial position and regional model may causes excessive segmentation or inner cavity. The paper adds adaptive distance keeping level set method on LBF model. Evolution curves reduce limitation to the initial position. Meanwhile, an improved area weight coefficient makes evolution curve move inward or outward adaptively according to image information and it can detect object boundaries when it is in a region with intensity homogeneity. The method enhances capability of capturing boundary concavities. In addition, xconv2 instead of conv2 function during Matlab programming for improving the evolution speed in some sense. The experimental results show that the proposed method can get local characteristics of the brain.