A novel active contour model for medical images via the Hessian matrix and eigenvalues

作者：Hanbay Kazim^*; Talu Muhammed Fatih

来源：Computers & Mathematics with Applications, 2018, 75(9): 3081-3104.

DOI：10.1016/j.camwa.2018.01.033

• Active contour
• Segmentation
• Medical images
• Eigenanalysis
• Hessian matrix

This paper presents a new level set formulation for active contour models (ACM). We propose the idea of integrating the eigenvalue information of Hessian matrix into the level set function. By this new level set function, the principal curvature information of images is used to enhance the ability of segmenting boundary regions. The advantages of our model are as follows: firstly, the interior and exterior object boundaries can be segmented with the initial contour being anywhere in the input image. Secondly, this method can work with heterogeneous images. Thirdly, the proposed model can produce smooth and right boundaries of objects having vital importance in medical operations. Extensive experiments demonstrate that the proposed model can obtain better segmentation results.

• 出版日期2018-5-1