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A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy
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2018
arXiv
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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
2014
Computational and Mathematical Methods in Medicine
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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
2016
BioMedical Engineering OnLine
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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
2016
International Journal of Computer Applications
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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
2020
IEEE Access
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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
2018
Sensors
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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
2014
Information Sciences
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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
2021
Applied Sciences
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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
2019
IEEE Access
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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
2013
Computational and Mathematical Methods in Medicine
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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
2020
IEEE Access
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[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
2016
PLoS ONE
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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
2019
Journal of Electrical and Computer Engineering
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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
2013
EURASIP Journal on Advances in Signal Processing
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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
2020
IEEE Access
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[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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