Hybrid level set method based on image diffusion

Zou, Le; Xu, Lixiang; Lv, Gang; Tang, Chao

doi:10.1016/j.neucom.2016.09.079

Cited by 14 publications

(2 citation statements)

References 44 publications

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“…LSM is a popular way to image segmentation problem in computer image analysis. The LSMs can be roughly categorized into edge‐based LSMs, 3 region‐based LSMs, 4 and hybrid LSMs 5 . The region‐based LSMs have been developed on the assumption of intensity homogeneity.…”

Section: Introductionmentioning

confidence: 99%

A sweeping optimization algorithm for the global cosine fitting energy image segmentation model

Zou

Chen

et al. 2021

Concurrency and Computation

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Image segmentation plays a pivotal role in image processing. Level set model is a traditional variation image segmentation method. In order to achieve level set evolution equation, the level set energy functionals are minimized with the gradient descent methods and then the partial differential equation (PDE) was solved by finite difference scheme. Slow speed is one of its disadvantages. We propose a sweep optimization algorithm based on global cosine fitting (GCF) energy. Instead of calculating the PDE and the curvature, the proposed sweeping algorithm directly calculates the energy change when a pixel moves from one side of evolving contour to the other. It checks whether the GCF energy is decreased or not. The proposed algorithm has many advantages. For example, independent of initial level set contour positions and parameters, need not consider the Courant Friedrichs Lew condition and the regularization energy term. The proposed algorithm can be easily extended to high dimension image segmentation. The experiments on synthetic images, noise images and real images demonstrate the effectiveness of the proposed sweeping optimization algorithm.

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Section: Introductionmentioning

confidence: 99%

A sweeping optimization algorithm for the global cosine fitting energy image segmentation model

Zou

Chen

et al. 2021

Concurrency and Computation

Self Cite

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“…According to the image property embedded in the energy functional, the existing level set models can be categorised into two major classes: edge‐based models [4–8] and region‐based models [9–14]. Edge‐based models mainly employ edge information for image segmentation [4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive multilayer level set method for segmenting images with intensity inhomogeneity

Huang

Zhang

et al. 2019

IET image process

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The level set method based on bias correction can segment images with gentle intensity inhomogeneity effectively. However, most level set methods fail to segment severe inhomogeneous images due to the use of fixed scale clustering criterion. To deal with this problem, an adaptive multilayer level set method is proposed to segment images with severe intensity inhomogeneity. First, an improved global adaptive scale operator and a local adaptive scale operator are designed to adaptively adjust the scale of clustering kernel function according to the degree of intensity inhomogeneity. Then, an adaptive multilayer level set structure is constructed with the two designed scale operators. The number of layers and the scale of each layer in the multilayer structure are adaptively determined based on the degree of intensity inhomogeneity, which not only provides appropriate candidate scales in each pixel but also allows the model to detect global contrast information. With the dual minimisation method, image segmentation and bias correction can be achieved simultaneously. In addition, a hybrid bias field initialisation procedure is proposed to enhance the robustness of the proposed method. Experimental results demonstrate the effectiveness and robustness of the proposed method in segmenting images with intensity inhomogeneity.

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A Fast Algorithm for Image Segmentation Based on Global Cosine Fitting Energy Model

Chen

Zou

et al. 2021

Parallel Architectures, Algorithms and Programming

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Hybrid level set method based on image diffusion

Cited by 14 publications

References 44 publications

A sweeping optimization algorithm for the global cosine fitting energy image segmentation model

A sweeping optimization algorithm for the global cosine fitting energy image segmentation model

Adaptive multilayer level set method for segmenting images with intensity inhomogeneity

A Fast Algorithm for Image Segmentation Based on Global Cosine Fitting Energy Model

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