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논문검색

MR Image Segmentation based on Local Information Entropy Geodesic Active Contour Model

초록

영어

In this paper, an improved Geometric Active Contour model is presented. This model introduced a window function to research the mean information of each pixel’s neighbor region, and constructed a novel signed pressure force function based on the entropy to drive the contour towers the boundary. In order to improve the efficiency and stability of the algorithm, this paper adopts two valued level set method to realize the segmentation process. The experimental results show that this method can obtain satisfied result even when the images have intensity inhomogeneity and weak edges.

목차

Abstract
 1. Introduction
 2. Background
 3. Image Information Entropy
 4. Signed Pressure Force function based on Local Information Entropy
 5. Experimental Results and Analysis
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Jianwei Zhang School of Math & Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Xiang Ma School of Math & Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Yunjie Chen School of Math & Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Lin Fang Intelligent Transportation of Anhui Province Key Lab., Hefei 230088, China
  • Jin Wang School of Computer & Sofware, Nanjing University of Information Science & Technology, Janjing 210044, China

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