NDLI: FBSLS model for image segmentation

Content Provider	IET Digital Library
Author	Su, Ting She, Li huang Zhang, Shi
Abstract	To achieve quick and accurate segmentations for intensity inhomogeneous images, the model named fractional B-spline level set (FBSLS) is proposed in this study. The core of FBSLS method is that the LS function is expressed as the line combination of FBS basis in continuous forms. In this expression, the evolution of the energy function can be seen as a variation problem on the space spanned by the FBSs. As a result, the minimum value of energy function can be obtained directly from the coefficient of FBSs. Furthermore, every minimisation step can be considered as a convolution operation, and the evolution of the process of energy function may be regarded as the filtering operation whose kernel function is defined by the fractional order BS function. The filtering operation induces an intrinsic algorithm of smoothing which may be controlled explicitly by the order of the chosen FBS function. At the last, the morphological operator was used as the step of post-processing to get better segmentation. The obtained experimental results demonstrate that the proposed model has better segment results than the traditional ones on segmentation time, Dice coefficient, precision, and recall and F-measure metrics.
Starting Page	126
Ending Page	132
Page Count	7
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0247
Journal	IET Image Processing
Publisher Date	2017-10-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Energy Function Evolution FBSLS Method Filtering Method in Signal Processing Filtering Operation Fractional B-spline Level Set Method Fractional Order BS Function Image Filtering Image Segmentation Interpolation And Function Approximation Intrinsic Smoothing Algorithm Kernel Function Mathematics Minimisation Minimisation Step Numerical Analysis Optical, Image And Video Signal Processing Optimisation Technique Smoothing Method SpLine
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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