NDLI: Active contours driven by modified LoG energy term and optimised penalty term for image segmentation

Content Provider	IET Digital Library
Author	Biswas, Soumen Hazra, Ranjay
Abstract	An active contour model to segment the images is proposed by combining local binary fitting (LBF) energy function and modified Laplacian of Gaussian (MLoG) energy function. A MLoG energy function based on a new boundary indicator function or edge stop function (ESF) is introduced to smoothen the homogeneous regions and enhance the edge information of objects. Also, MLoG energy term with LBF energy term is incorporated to drive the initial contour towards the object boundary. Finally, the penalty term is replaced with a new optimized potential function, which can improve the corresponding speed function. By adding the optimized area energy term, contour position is accelerated towards the object boundary. Further, the addition of MLoG based on new ESF, makes the proposed model insensitive to the initial contour. Experiments are performed on various real images, MS-COCO 2014 train data set images and Segmentation Evaluation Database images shared in Weizmann Institute of Science website. The proposed model provides better segmentation results compared to the other state of the art models in terms of segmentation accuracy, F-score and CPU execution time. Further, experimental results also prove the robustness of the proposed model in terms of contour initialization, intensity inhomogeneity and noise.
Starting Page	3232
Ending Page	3242
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 13, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0214
Journal	IET Image Processing
Publisher Date	2020-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Contour Model Boundary Indicator Function Computer Vision And Image Processing Technique Contour Initialisation Contour Position CPU Execution Time Edge Information Edge Stop Function ESF F-score Gaussian Energy Function Image Segmentation Information Network Intensity Inhomogeneity LBF Energy Term Local Binary Fitting Energy Function MLoG Energy Function Modified Laplacian Energy Function Modified LoG Energy Term MS-COCO 2014 Train Data Set Image Object Boundary Optical, Image And Video Signal Processing Optimised Area Energy Term Optimised Penalty Term Optimised Potential Function Segmentation Accuracy Segmentation Evaluation Database Image Spatial And Pictorial Database Speed Function Visual Database Web Site Weizmann Institute of Science Website
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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