Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

doi:10.4208/eajam.090312.190412a

Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

Preview

Add to basket

Year: 2012

East Asian Journal on Applied Mathematics, Vol. 2 (2012), Iss. 2 : pp. 150–169

Abstract

Most image segmentation techniques efficiently segment images with prominent edges, but are less efficient for some images with low frequencies and overlapping regions of homogeneous intensities. A recently proposed selective segmentation model often works well, but not for such challenging images. In this paper, we introduce a new model using the coefficient of variation as a fidelity term, and our test results show it performs much better in these challenging cases.

Submit Article

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name: Global Science Press

Language: English

DOI: https://doi.org/10.4208/eajam.090312.190412a

East Asian Journal on Applied Mathematics, Vol. 2 (2012), Iss. 2 : pp. 150–169

Published online: 2012-01

AMS Subject Headings:

Pages: 20

Keywords: Segmentation Coefficient of Variation (CoV) level set functional minimisation Total Variation (TV).

A new selective segmentation model for texture images and applications to medical images
Shah, Hassan | Badshah, Noor | Ullah, Fahim | Ullah, Asmat |
Biomedical Signal Processing and Control, Vol. 48 (2019), Iss. P.234
https://doi.org/10.1016/j.bspc.2018.09.017 [Citations: 6]
Active contours textural and inhomogeneous object extraction
Mabood, Lutful | Ali, Haider | Badshah, Noor | Chen, Ke | Khan, Gulzar Ali
Pattern Recognition, Vol. 55 (2016), Iss. P.87
https://doi.org/10.1016/j.patcog.2016.01.021 [Citations: 30]
SCM-motivated enhanced CV model for mass segmentation from coarse-to-fine in digital mammography
Guo, Ya’nan | Gao, Xiaoli | Yang, Zhen | Lian, Jing | Du, Shiqiang | Zhang, Huaiqing | Ma, Yide
Multimedia Tools and Applications, Vol. 77 (2018), Iss. 18 P.24333
https://doi.org/10.1007/s11042-018-5685-2 [Citations: 5]
On an effective multigrid solver for solving a class of variational problems with application to image segmentation
Roberts, Michael | Chen, Ke | Li, Jingzhi | Irion, Klaus L.
International Journal of Computer Mathematics, Vol. 97 (2020), Iss. 10 P.2015
https://doi.org/10.1080/00207160.2019.1674290 [Citations: 1]
Image Segmentation for Intensity Inhomogeneity in Presence of High Noise
Ali, Haider | Rada, Lavdie | Badshah, Noor
IEEE Transactions on Image Processing, Vol. 27 (2018), Iss. 8 P.3729
https://doi.org/10.1109/TIP.2018.2825101 [Citations: 63]
Geometric Constraints Based Selective Segmentation for Vector Valued Images
Kapuriya, B R | Pradhan, Debasish | Sharma, Reena
2020 International Conference on Computer Communication and Informatics (ICCCI), (2020), P.1
https://doi.org/10.1109/ICCCI48352.2020.9104107 [Citations: 2]
Innovative Data Communication Technologies and Application

Selective Segmentation of Piecewise Homogeneous Regions
Kapuriya, B. R. | Pradhan, Debasish | Sharma, Reena
2020
https://doi.org/10.1007/978-3-030-38040-3_60 [Citations: 3]
Deformable models for image segmentation: A critical review of achievements and future challenges
Kumar, Ankit | Jain, Subit Kumar
Computers & Mathematics with Applications, Vol. 119 (2022), Iss. P.288
https://doi.org/10.1016/j.camwa.2022.05.034 [Citations: 7]
A Convex Geodesic Selective Model for Image Segmentation
Roberts, Michael | Chen, Ke | Irion, Klaus L.
Journal of Mathematical Imaging and Vision, Vol. 61 (2019), Iss. 4 P.482
https://doi.org/10.1007/s10851-018-0857-2 [Citations: 23]
On segmentation of images having multi-regions using Gaussian type radial basis kernel in fuzzy sets framework
Badshah, Noor | Ahmad, Ali
Applied Soft Computing, Vol. 64 (2018), Iss. P.480
https://doi.org/10.1016/j.asoc.2017.12.029 [Citations: 3]
A convex variational level set model for image segmentation
Wu, Yongfei | He, Chuanjiang
Signal Processing, Vol. 106 (2015), Iss. P.123
https://doi.org/10.1016/j.sigpro.2014.07.013 [Citations: 63]
Active contour image segmentation model with de‐hazing constraints
Ali, Haider | Sher, Awal | Saeed, Maryam | Rada, Lavdie
IET Image Processing, Vol. 14 (2020), Iss. 5 P.921
https://doi.org/10.1049/iet-ipr.2018.5987 [Citations: 6]
A survey on regional level set image segmentation models based on the energy functional similarity measure
Zou, Le | Song, Liang-Tu | Weise, Thomas | Wang, Xiao-Feng | Huang, Qian-Jing | Deng, Rui | Wu, Zhi-Ze
Neurocomputing, Vol. 452 (2021), Iss. P.606
https://doi.org/10.1016/j.neucom.2020.07.141 [Citations: 19]
Active contours driven by edge entropy fitting energy for image segmentation
Wang, Lei | Chen, Guangqiang | Shi, Dai | Chang, Yan | Chan, Sixian | Pu, Jiantao | Yang, Xiaodong
Signal Processing, Vol. 149 (2018), Iss. P.27
https://doi.org/10.1016/j.sigpro.2018.02.025 [Citations: 85]
A fuzzy variational model for segmentation of images having intensity inhomogeneity and slight texture
Ahmad, Ali | Badshah, Noor | Ali, Haider
Soft Computing, Vol. 24 (2020), Iss. 20 P.15491
https://doi.org/10.1007/s00500-020-04878-9 [Citations: 6]
Pervasive Computing and Social Networking

A Deep Learning-Based Approach with Semi-supervised Level Set Loss for Infant Brain MRI Segmentation
Trinh, Minh-Nhat | Pham, Van-Truong | Tran, Thi-Thao
2023
https://doi.org/10.1007/978-981-19-2840-6_41 [Citations: 1]
Mathematical Model for Single and Multiple Object Extraction
Shujahuddin, Amna | Khan, Muhammad Salim | Ali, Haider
Punjab University Journal of Mathematics, Vol. (2021), Iss. P.387
https://doi.org/10.52280/pujm.2021.530603 [Citations: 0]
Shot based keyframe extraction using edge-LBP approach
Nandini, H.M. | Chethan, H.K. | Rashmi, B.S.
Journal of King Saud University - Computer and Information Sciences, Vol. 34 (2022), Iss. 7 P.4537
https://doi.org/10.1016/j.jksuci.2020.10.031 [Citations: 12]
Effective document image binarization via a convex variational level set model

Feng, Shu

Applied Mathematics and Computation, Vol. 419 (2022), Iss. P.126861
https://doi.org/10.1016/j.amc.2021.126861 [Citations: 5]
An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation
Cai, Qing | Liu, Huiying | Zhou, Sanping | Sun, Jingfeng | Li, Jing
Pattern Recognition, Vol. 82 (2018), Iss. P.79
https://doi.org/10.1016/j.patcog.2018.05.008 [Citations: 68]
A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity
Ali, Haider | Badshah, Noor | Chen, Ke | Khan, Gulzar Ali
Pattern Recognition, Vol. 51 (2016), Iss. P.27
https://doi.org/10.1016/j.patcog.2015.08.022 [Citations: 62]
On segmentation model for vector valued images and fast iterative solvers
Badshah, Noor | Ullah, Fahim |
Advances in Difference Equations, Vol. 2018 (2018), Iss. 1
https://doi.org/10.1186/s13662-018-1669-9 [Citations: 3]
New Local Region Based Model for the Segmentation of Medical Images
Badshah, Noor | Atta, Hadia | Shah, Syed Inayat Ali | Attaullah, Sobia | Minallah, Nasru | Ullah, Mati
IEEE Access, Vol. 8 (2020), Iss. P.175035
https://doi.org/10.1109/ACCESS.2020.3026143 [Citations: 6]
Selective variational image segmentation combined with registration: Models and algorithms

Chen, Ke

2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), (2012), P.5
https://doi.org/10.1109/IPTA.2012.6469481 [Citations: 1]
On local active contour model for automatic detection of tumor in MRI and mammogram images
Badshah, Noor | Rabbani, Hena | Atta, Hadia
Biomedical Signal Processing and Control, Vol. 60 (2020), Iss. P.101993
https://doi.org/10.1016/j.bspc.2020.101993 [Citations: 7]
Active contour model based on variable exponent p-Laplace equation for image segmentation
Cao, Junfeng | Chen, Sugen
Journal of Modern Optics, Vol. 66 (2019), Iss. 7 P.726
https://doi.org/10.1080/09500340.2019.1567840 [Citations: 5]
A Level Set Approach for Segmentation of Intensity Inhomogeneous Image Based on Region Decomposition
Chakravarty, Deepa | Pradhan, Debasish
SN Computer Science, Vol. 1 (2020), Iss. 5
https://doi.org/10.1007/s42979-020-00278-w [Citations: 2]
Image-selective segmentation model for multi-regions within the object of interest with application to medical disease
Ali, Haider | Faisal, Shah | Chen, Ke | Rada, Lavdie
The Visual Computer, Vol. 37 (2021), Iss. 5 P.939
https://doi.org/10.1007/s00371-020-01845-1 [Citations: 10]
Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation
Hussain, Ibrar | Ali, Haider | Khan, Muhammad Shahkar | Niu, Sijie | Rada, Lavdie
Inverse Problems and Imaging, Vol. 16 (2022), Iss. 5 P.1113
https://doi.org/10.3934/ipi.2022014 [Citations: 2]
Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models
Roberts, Michael | Chen, Ke | Irion, Klaus L.
International Journal of Computer Mathematics, Vol. 96 (2019), Iss. 8 P.1623
https://doi.org/10.1080/00207160.2018.1494827 [Citations: 3]
A fractional-order image segmentation model with application to low-contrast and piecewise smooth images
Cao, Junfeng | Chen, Ke | Han, Huan
Computers & Mathematics with Applications, Vol. 153 (2024), Iss. P.159
https://doi.org/10.1016/j.camwa.2023.11.010 [Citations: 1]
A convex selective segmentation model based on a piece-wise constant metric-guided edge detector function
Khan, Muhammad Shahkar | Ali, Haider | Zakarya, Muhammad | Tirunagari, Santosh | Khan, Ayaz Ali | Khan, Rahim | Ahmed, Aftab | Rada, Lavdie
Soft Computing, Vol. (2023), Iss.
https://doi.org/10.1007/s00500-023-08173-1 [Citations: 0]