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Enhanced Geometric Active Contour Segmentation Model (ENGAC) For Medical Image Segmentation

by Ajala F.a, Emuoyibofarhe J.o
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 1
Year of Publication: 2012
Authors: Ajala F.a, Emuoyibofarhe J.o
http:/ijais12-450422

Ajala F.a, Emuoyibofarhe J.o . Enhanced Geometric Active Contour Segmentation Model (ENGAC) For Medical Image Segmentation. International Journal of Applied Information Systems. 3, 1 ( July 2012), 1-8. DOI=http:/ijais12-450422

@article{ http:/ijais12-450422,
author = { Ajala F.a, Emuoyibofarhe J.o },
title = { Enhanced Geometric Active Contour Segmentation Model (ENGAC) For Medical Image Segmentation },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2012 },
volume = { 3 },
number = { 1 },
month = { July },
year = { 2012 },
issn = { 2249-0868 },
pages = { 1-8 },
numpages = {9},
url = { https://www.ijais.org/archives/volume3/number1/193-0422/ },
doi = { http:/ijais12-450422 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:45:12.920238+05:30
%A Ajala F.a
%A Emuoyibofarhe J.o
%T Enhanced Geometric Active Contour Segmentation Model (ENGAC) For Medical Image Segmentation
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 3
%N 1
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Segmentation is an aspect of computer vision that deals with partitioning of an image into homogeneneous region. Medical image segmentation is an indispensable tool for medical image diagnoses. This work built on Geometric active contour (GAC) segmentation which is one of the outstanding model used in machine learning community to solve the problem of medical image segmentation. However, GAC has problem of deviation from the true outline of the target feature and it generates spurious edge caused by noise that normally stop the evolution of the surface to be extracted.

References
  1. Ajala F. A and Emuoyibofarhe O. J. (2012): Performance evaluation of Enhanced Geometric active contour model (ENGAC) and Geometric active contour model (GAC) for medical image segmentation. Computer Engineering and Intelligent Systems, 3(3):78-86.
  2. Charpiat G. , Faugeras O. , and Keriven R. (2005) "Approximations of Shape Metrics and Application to Shape
  3. Warping and Empirical Shape Statistics,". Foundations of Computational Mathematics, 5(1):1–58
  4. Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. (2011). Metaxas, Member, IEEE, and John C. Gore "A Level Set Method for Image Segmentation in the
  5. Presence of Intensity InhomogeneitiesWith Application to mriieee transactions on image processing, vol. 20, no. 7.
  6. Chen Y, Thiruenkadam S. , Tagare H. , Huang F. , Wilson D. , and Geiser E. (2001) "On the incorporation of shape priors into geometric active contours,"in Proc. IEEE Workshop Variational and Level Set Methods, pp. 145–152.
  7. Dambreville S. , Rathi Y. , and Tannenbaum A. (2008). "A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors," IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8):1385–99,
  8. Leventon M. , Grimson W. , and Faugeras O. (2000)"Statistical Shape Influence in Geodesic Active Contours". In Proc. IEEECVPR. Approachto The Segmentation of Medical Imagery Using Level Sets". IEEE Trans. on Medical Imaging, 22(2):137–154.
  9. Niethammer and Allen Tannenbaum (2004): Dynamic Geodesic Snakes for Visual Tracking. CVPR (1) : 660-667
  10. Osher S. andSethian J. A. (1988). , "Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulation," Journal of Computer Physics, vol. (79): 12-49.
  11. Poggio T. (1975), " On optimal non-linear associative recall" Biological cybernetic 19: 201-209
  12. Tsai A. , YezziJr A. , Wells W. , Tempany C. , Tucker D. , Fan A. , Grimson W. , and Willsky A. (2003). "A Shape-Based
  13. Wang Y. and Staib L. (1998) "Boundary finding with correspondence using statistical shape models," in IEEE Conf. Computer Vision and Pattern Recognition, pp. 338–345.
  14. Xiao Han, ChenyangXu, and Jerry L. Prince, (2003) "A Topology Preserving Level Set Method for Geometric Deformable Models" IEEETransactions on Pattern analysis and Machine intelligence, 25(6):56-70.
Index Terms

Computer Science
Information Sciences

Keywords

Geometric Active Contour Mri Ct Segmentation

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