Interactively multiphase image segmentation based on variational formulation and graph cuts

Tao, Wenbing; Chang, Feng Chi; Liu, Liman; Jin, Hai; Wang, Tianjiang

doi:10.1016/j.patcog.2010.04.014

Cited by 28 publications

(15 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The way of graythresh calculating threshold in the MATLAB is Otsu method. The specific steps are as follows [6]:…”

Section: B Edge Two Value Based On Otsu Methodsmentioning

confidence: 99%

Edge Detection Based on Improved Sobel Operator

Zhang¹,

Fang²

2016

Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

View full text Add to dashboard Cite

Abstract-Sobel algorithm is an important method of image edge detection. Comparing the Sobel operator with several other edge detection operators used frequently and making a further study on the classical Sobel operator, the advantages of Sobel operator are its fast detection speed, meanwhile , it has an effect on smoothing and suppressing noise. Also, Sobel operator has a good effect on edge detection. Although Sobel operator has advantages in many aspects, it exists some problems: the Sobel operator is a kind of edge detection in horizontal and vertical direction, so it neglects edge points in other directions. It can not achieve a true detection for the points on image edge. In this paper, the algorithm is based on the Sobel operator, an increase of 45 degrees and 135 degrees 2 direction template, while the main edge of the oblique, re-assigned the weight of the operator template. At the same time, in order to achieve an effect of detection, binarization method is used to make an edge thinning for detected image. According to simulation experiments, they show this method is simple and feasible, and the detective result is more concrete and abundant than traditional Sobel edge detection. Some problems are improved, such as traditional Sobel edge is rough and detection is incomplete.

show abstract

“…The way of graythresh calculating threshold in the MATLAB is Otsu method. The specific steps are as follows [6]:…”

Section: B Edge Two Value Based On Otsu Methodsmentioning

confidence: 99%

Edge Detection Based on Improved Sobel Operator

Zhang¹,

Fang²

2016

Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

View full text Add to dashboard Cite

show abstract

“…While region-based segmentation algorithm has robustness contrast with the initial curve and is less susceptible to local minima, but it neglects the spatial constrain. As a result, a substantial of methods have been proposed to integrate the two different kinds of models [2,3].…”

Section: Related Workmentioning

confidence: 99%

“…where total region number ( ) 2 [2] model. These techniques also assume that multiple regions can be described with multiple piecewise constant functions.…”

Section: Multiphase Successive Active Contour Modelmentioning

confidence: 99%

“…As a result, incorporating the color information with texture information may be more effective in segmentation process. With regard to multiphase segmentation, some methods [2,6] have been presented to tackle with color image. They were accurate, and have been achieved some impressive segmentation results, however, they are all confronted with user interaction by using many initial curves enclosed with interested objects or sub-objects.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, based on cut metric in graph theory [7], a discrete representation of MSACM model is proposed. Meanwhile, the presented variational model it can be approximately optimized by using multilayer graph [2,[8][9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Variational Formulation and Multilayer Graph Based Color-Texture Image Segmentation in Multiphase

Yang

Guo

Wang

2013

2013 International Conference on Virtual Reality and Visualization

Self Cite

View full text Add to dashboard Cite

A variational segmentation approach of color-texture images is proposed in this lecture. To improve the description ability, we use our proposed color-texture descriptor in [1] to describe color-texture. Due to heterogeneous image objects and nonlinear variation exist in color-texture image, it is not appropriate to use one single/multiple constant in Chan and Vese model for describing each phase [2-3]. Consequently, a multiphase successive active contour model (MSACM) with the multivariable Gaussian distribution is proposed to describe each phase. For geodesic active contour (GAC) has a stronger ability in capturing boundary, therefore, a newly approach incorporates the GAC with MSACM model is designed to enhance the detection ability for concave edge. As the optimization of our proposed MSACM model is NP hard problem, we cannot discrete the variational energy function of MSACM model directly, and then the multilayer graph method is adopted for getting approximate solution. To investigate the segmentation performance, lastly, a substantial of color texture images are applied for testing, and our approach achieves a significantly better performance on capture ability of concave boundary, and accuracy.

show abstract