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A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy [article]

Keyan Ding, Linfang Xiao
2018 arXiv   pre-print
Active contour models based on local region fitting energy can segment images with intensity inhomogeneity effectively, but their segmentation results are easy to error if the initial contour is inappropriate  ...  In this paper, we present a simple and universal method of improving the robustness of initial contour for these local fitting-based models.  ...  [9] presented an active contour model driven by local image fitting (LIF) energy.  ... 
arXiv:1802.10437v2 fatcat:td5z5ii6urbr7nvi4m2lo6qceu

New Region-Scalable Discriminant and Fitting Energy Functional for Driving Geometric Active Contours in Medical Image Segmentation

Xuchu Wang, Yanmin Niu, Liwen Tan, Shao-Xiang Zhang
2014 Computational and Mathematical Methods in Medicine  
The region-scalable discriminant and fitting energy functional is defined to capture the image intensity characteristics in local and global regions for driving the evolution of active contour.  ...  We propose a novel region-based geometric active contour model that uses region-scalable discriminant and fitting energy functional for handling the intensity inhomogeneity and weak boundary problems in  ...  Acknowledgments This work was partially supported by the Chinese National Science Foundation (NSFC 60903142 and 61190122), the China Postdoctoral Science Foundation (2013T60841, 2012M521677, and Xm201306  ... 
doi:10.1155/2014/357684 pmid:25110513 pmcid:PMC4109108 fatcat:svsn4z5oprhttpljb2ljlq6ysq

A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions

Kuanquan Wang, Chao Ma
2016 BioMedical Engineering OnLine  
Methods: We define an energy functional in terms of the initial seeded labels and two fitting functions that are derived from object local robust statistics features.  ...  Due to the local robust statistics and the volume scaling function in the energy fitting term, the object features in local volumes are learned adaptively to guide the motion of the contours, which thereby  ...  Acknowledgements This work was supported by National Nature Science Foundation of China (NSFC) Grant No. 61173086 and 61571165.  ... 
doi:10.1186/s12938-016-0153-6 pmid:27074891 pmcid:PMC4831199 fatcat:rmdb6467wzhu5iasl4g5a6rfcq

Energy based Methods for Medical Image Segmentation

Pamela Juneja, Ramgopal Kashyap
2016 International Journal of Computer Applications  
Segmentation methods are classified as edge based, region based, clustering based, Level set methods (LSM) and Energy based methods.  ...  This study is helpful for an appropriate use of existing segmentation methods and for improving their performance as well as for systematically designing new segmentation methods.  ...  Implicit Active contour model with local and global intensity fitting energies method integrates the Local intensity fitting energy with an auxiliary global intensity fitting energy.  ... 
doi:10.5120/ijca2016910808 fatcat:2nm5bgqg55blbmrtnrjdotpbdi

Active Contours Driven by Local and Global Region-based Information for Image Segmentation

Xiaojun Yang, Xiaoliang Jiang, Lingfei Zhou, Yong Wang, Yuliang Zhang
2020 IEEE Access  
Third, by combing the global-based SPF and the local-based SPF functions, an improved hybrid SPF function is constructed based on active contour approach.  ...  Aiming at these problems, this work proposes a novel hybrid active contour method which combines local and global statistical information into an improved signed pressure force (SPF) function.  ...  In [18] , Li et al. presented a classical region-scalable fitting (RSF) energy, which utilizes a convolution to compute the local region energy.  ... 
doi:10.1109/access.2019.2963435 fatcat:uyyqb7bsxbck3pwlkzmdq4jfjm

Ship Segmentation in SAR Images by Improved Nonlocal Active Contour Model

Xiaoqiang Zhang, Boli Xiong, Ganggang Dong, Gangyao Kuang
2018 Sensors  
Firstly, the proposed nonlocal energy describes the nonlocal comparison of patches and optimizes regions with spatially-varying features.  ...  Secondly, we rewrite the energy functional by introducing a ratio distance defined with respect to the probability density functions of regions to overcome the influence of the multiplicative noise.  ...  To improve the performance, Wang et al. modified the local region fitting function of the RSF model incorporating a Gaussian distribution and proposed the local Gaussian distribution fitting (LGDF) model  ... 
doi:10.3390/s18124220 fatcat:f2g5nnbdpjh4pjm7yf3nafpjay

An active contour model and its algorithms with local and global Gaussian distribution fitting energies

Hui Wang, Ting-Zhu Huang, Zongben Xu, Yilun Wang
2014 Information Sciences  
In the proposed model, the local and global region fitting energies are described by the combination of the local and global Gaussian distributions with different means and variances, respectively.  ...  In this combination, we increase a weighting coefficient by which we can adjust the ratio between the local and global region fitting energies.  ...  Witold Pedrycz and anonymous referees for their valuable comments and suggestions, which are very helpful for revising and improving this paper.  ... 
doi:10.1016/j.ins.2013.10.033 fatcat:dil6fqf42fgc7k464c3ppxsa4m

COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models

Younes Akbari, Hanadi Hassen, Somaya Al-Maadeed, Susu M. Zughaier
2021 Applied Sciences  
This review helps the reader to identify starting points for research in the field of active contour models on COVID-19, which is a high priority for researchers and practitioners.  ...  In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease (COVID-19) as one of the successful methods  ...  Acknowledgments: This publication was made possible by Qatar University Emergency Response Grant (QUERG-CENG-2020-1) from Qatar University.  ... 
doi:10.3390/app11178039 fatcat:hva73yzglza7dmwwxpzubl6akm

A Distance Regularized Level-set Evolution Model Based MRI Dataset Segmentation of Brain's Caudate Nucleus

Yating Chen, Gaoxiang Chen, Yu Wang, Nilanjan Dey, R. Simon Sherratt, Fuqian Shi
2019 IEEE Access  
Firstly, Distance Regularized Level Set Evolution (DRLSE), Region-Scalable Fitting (RSF) and Local Image Fitting (LIF) models are proposed for segmentation of the caudate nucleus of Magnetic Resonance  ...  INDEX TERMS Distance regularized level set evolution, local image fitting, level set method, medical image segmentation, region-scalable fitting.  ...  [3] proposed a novel active contour model driven by local image fitting energy.  ... 
doi:10.1109/access.2019.2937964 fatcat:ur4bhswcdrcjnn42kbtd2szcdm

Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model

Bin Li, Kan Chen, Lianfang Tian, Yao Yeboah, Shanxing Ou
2013 Computational and Mathematical Methods in Medicine  
An improved detection method which combines a fuzzy integrated active contour model (FIACM)-based segmentation method, a segmentation refinement method based on Parametric Mixture Model (PMM) of juxta-vascular  ...  Our approach has several novel aspects: (1) In the proposed FIACM model, edge and local region information is incorporated.  ...  Bai, and Dr. F. Long for their helpful comments and advice which contributed much to this paper. This work is supported by the National Natu-  ... 
doi:10.1155/2013/515386 pmid:23690876 pmcid:PMC3652289 fatcat:fskhpxakjndglelas2guffm3ra

An Improved Matrix Factorization Based Active Contours Combining Edge Preservation for Image Segmentation

Jinyun Jiang, Xiaoliang Jiang
2020 IEEE Access  
[26] presented an active contour model driven by local pre-fitting energy. Experiments have proved the proposed local prefitting method is able to reduce the computational costs.  ...  [28] proposed a new segmenting method for texture image by using local Gaussian distribution fitting and local self-similarity that has a relatively low complexity. Subudhi et al.  ... 
doi:10.1109/access.2020.3044881 fatcat:xrnw4ztjlrhuzpdkh5yoemwgw4

A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images

Yaser Afshar, Ivo F. Sbalzarini, Alessandro Esposito
2016 PLoS ONE  
Pixel-accurate high-level analysis of large images can be achieved by splitting each image into smaller sub-images and distributing them across multiple computers or memories, thus distributing the data  ...  While this does not strictly fulfill the definition of acquisition-rate processing (e.g., it would not be useful for a smart microscope), it improves data throughput by pipelining.  ...  Acknowledgments This work was supported by the Max Planck Society and by the German Federal Ministry of Education and Research (BMBF) under funding code 031A099.  ... 
doi:10.1371/journal.pone.0152528 pmid:27046144 pmcid:PMC4821481 fatcat:biazyulexvfetgvwjzkdz367kq

Shape Prior Embedded Level Set Model for Image Segmentation

Wansuo Liu, Dengwei Wang, Wenjun Shi
2019 Journal of Electrical and Computer Engineering  
Firstly, by performing probability weighting and coefficient adaptive processing on the original LSEWR model, the optimized image energy term required by the proposed model is constructed.  ...  Secondly, a shape prior term driven by kernel density estimation (KDE) is additionally introduced into the optimized LSEWR model.  ...  [16] presented an active contour model driven by local image fitting (LIF) energy model whose energy functional is defined by minimizing the difference between the fitted image and the original image  ... 
doi:10.1155/2019/9014217 fatcat:riwtp4sotrafxp4cq5fd6cgkse

An efficient operator splitting method for local region Chan-Vese model

Hui Wang, Ting-Zhu Huang, Jun Liu
2013 EURASIP Journal on Advances in Signal Processing  
Different from the C-V model, we employ the window function and absorb the local characteristics of the image for improving the C-V model, which we called the local C-V model.  ...  In this paper, we propose an efficient operator splitting method for local region Chan-Vese (C-V) model for image segmentation.  ...  Acknowledgements The authors would like to thank the editor and the anonymous referee for their valuable comments and suggestions, which are very helpful for revising and improving this paper.  ... 
doi:10.1186/1687-6180-2013-97 fatcat:o5c6qe74hzfdzkzrwnzcag6udq

New Local Region Based Model for the Segmentation of Medical Images

Noor Badshah, Hadia Atta, Syed Inayat Ali Shah, Sobia Attaullah, Nasru Minallah, Mati Ullah
2020 IEEE Access  
[11] proposed an active contour model driven by local Gaussian distribution fitting (LGDF) energy with local means and variances as variables.  ...  [1] proposed an active contour model driven by Local Gaussian Distribution Fitting (LGDF) energy with a level set function and local means and variances as variables.  ... 
doi:10.1109/access.2020.3026143 fatcat:gywpvaummnfeldv46kghoum23y
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