Multimed Tools Appl https://doi.org/10.1007/s11042-018-6154-7 A level set method based on local direction gradient for image segmentation with intensity inhomogeneity 1 1,2 Yingran Ma & Yanjun Peng Received: 18 July 2017 /Revised: 1 May 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Many medical and real images are suffered from intensity inhomogeneity and weak edges. For higher image segmentation quality, lots of level set-based methods have been proposed. Some of them however cannot take advantage of image gradient information. And severe intensity inhomogeneity and weak edges are not disposed properly. To address these problems, a new level set method integrated with local direction gradient information is presented in this paper. Firstly, according to the two assumptions on image intensity inhomo- geneity adopted by many existing methods, a new pixel classification model based on image gradient is introduced. Secondly, we employ variational level set method combined with image spatial information, which improves the anti-noise capability of the proposed method. Finally, considering the gray gradients in homogeneous regions are close to constants, an improved diffusion process is incorporated into the level set function to make the evolving curves stay around true image edges. To verify
Multimedia Tools and Applications – Springer Journals
Published: May 31, 2018
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