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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 2/2013

01.05.2013 | Theoretical Advances

On using an analogy to heat flow for shape extraction

verfasst von: Cem Direkoğlu, Mark S. Nixon

Erschienen in: Pattern Analysis and Applications | Ausgabe 2/2013

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Abstract

We introduce a novel evolution-based segmentation algorithm which uses the heat flow analogy to gain practical advantage. The proposed algorithm consists of two parts. In the first part, we represent a particular heat conduction problem in the image domain to roughly segment the region of interest. Then we use geometric heat flow to complete the segmentation, by smoothing extracted boundaries and removing noise inside the prior segmented region. The proposed algorithm is compared with active contour models and is tested on synthetic and medical images. Experimental results indicate that our approach works well in noisy conditions without pre-processing. It can detect multiple objects simultaneously. It is also computationally more efficient and easier to control and implement in comparison with active contour models.
Nächster Artikel Parametric and nonparametric tests for speckled imagery

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Literatur
1.
Kass M, Witkin A, Terzopoulos D (1987) Snakes: active contour models. Int J Comput Vision 321–331
2.
3.
Li B, Acton ST (2007) Active contour external force using vector field convolution for image segmentation. IEEE Trans Image Process 16(8):2096–2106MathSciNetCrossRef
4.
Osher S, Sethian JA (1988) Fronts propagating with curvature-dependent speed: algorithms based on Hamilton–Jacobi formulations. J Comput Phys 79(1):12–49MathSciNetMATHCrossRef
5.
6.
Malladi R, Sethian JA, Vemuri BC (1995) Shape modeling with front propagation: a level set approach. IEEE Trans Pattern Anal Mach Intell 17(2):158–175CrossRef
7.
Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vision 22(1):61–79MATHCrossRef
8.
Siddiqi K, Lauziere Y, Tannenbaum A, Zucker S (1998) Area and length minimizing flows for shape segmentation. IEEE Trans Image Process 7(3):433–443CrossRef
9.
10.
11.
Sethian J (1999) Level set methods and fast marching methods. Cambridge Univ Press, New YorkMATH
12.
Weickert J, Romeny BMTH, Viergever MA (1998) Efficient and reliable schemes for nonlinear diffusion filtering. IEEE Trans Image Process 7(3):398–410CrossRef
13.
Chan T, Vese L (2001) Active Contours without Edges. IEEE Trans Image Process 10(2):266–277MATHCrossRef
14.
Mumford D, Shah J (1989) Optimal approximation by piecewise smooth functions and associated variational problems. Commun Pure Appl Math 42(4):577–685MathSciNetMATHCrossRef
15.
Vese L, Chan T (2002) A multiphase level set framework for image segmentation using the Mumford and Shah Model. Int J Comput Vision 50:271–293MATHCrossRef
16.
Tsai A, Yezzi A, Willsky AS (2001) Curve evolution implementation of the mumford-shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Trans Image Process 10(8):1169–1186MATHCrossRef
17.
Li C, Kao C, Gore J, Ding Z (2007) Implicit active contours driven by local binary fitting energy. IEEE IntConf Comput Vision Pattern Recognit 1–7
18.
Li C, Kao C, Gore J, Ding Z (2008) Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process 17(10):1940–1949MathSciNetCrossRef
19.
Zhang K, Song H, Zhang L (2010) Active contours driven by local image fitting energy. Pattern Recognit 43:1199–1206MATHCrossRef
20.
Zimmer C, Olivo-Marin JC (2005) Coupled parametric active contours. IEEE Trans Pattern Anal Mach Intell 27(11):1838–1842CrossRef
21.
Paragios N, Deriche R (2000) Coupled geodesic active regions for image segmentation: a level set approach. Eur Conf Comput Vision 224–240
22.
Xie X, Mirmehdi M (2008) MAC: magnetostatic active contour model. IEEE Trans Pattern Anal Mach Intell 30(4):632–646CrossRef
23.
Huang X, Metaxas D (2008) Metamorphs: deformable shape and appearance models. IEEE Trans Patt Anal Mach Intell 30(8):1444–1459CrossRef
24.
Adams R, Bischof L (1994) Seeded region growing. IEEE Trans Pattern Anal Mach Intell 16(6):641–647CrossRef
25.
Fung PW, Grebbin G, Attikiouzel Y (1990) Model-based region growing segmentation of textured images. IEEE Int Conf Acoust Speech Signal Process 4:2313–2316CrossRef
26.
Xiaohan Y, Yla-Jailski J, Huttunen O, Vehkomiiki T, Sipila O, Katila T (1992) Image segmentation combining region growing and edge detection. Int Conf Pattern Recognit 3:481–484
27.
Yu Q, Clausi DA (2008) IRGS: image segmentation using edge penalties and region growing. IEEE Trans Pattern Anal Mach Intell 30(12):2126–2139CrossRef
28.
Qin AK, Clausi DA (2010) Multivariate image segmentation using semantic region growing with adaptive edge penalty. IEEE Trans Image Process 19(8):2157–2170MathSciNetCrossRef
29.
Perona P, Malik J (1990) Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell 22(8):629–639CrossRef
30.
Manay S, Yezzi A (2003) Anti-geometric diffusion for adaptive thresholding and fast segmentation. IEEE Trans Image Process 12(11):1310–1323MathSciNetCrossRef
31.
Ji X, Feng J (2004) A new approach to thinning based on time-reversed heat conduction model. IEEE Int Conf Image Process 1:653–656
32.
Kimia BB, Siddiqi K (1994) Geometric heat equation and nonlinear diffusion of shapes and images. IEEE Int Conf Comput Vision Pattern Recognit 113–120
33.
Makrogiannis SK, Bourbakis NG (2004) Motion analysis with application to assistive vision technology. IEEE Int Conf Tools Artif Intell 344–352
34.
Direkoğlu C, Nixon MS (2006) Low level moving-feature extraction via heat flow analogy. Int Symp Visual Comput LNCS 4291:243–252
35.
Direkoğlu C, Nixon MS (2010) Moving-edge detection via heat flow analogy. Pattern Recognit Lett (in press)
36.
Direkoğlu C, Nixon MS (2007) Shape extraction via heat flow analogy. Int Conf Adv Concepts Intell Vision LNCS 4678:553–564
37.
Nixon MS, Liu XU, Direkoğlu C, Hurley DJ (2011) On using physical analogies for feature and shape extraction in computer vision. Comput J 54(1):11–25
38.
Holman JP (2002) Heat transfer, McGraw-Hill, 9th edn
39.
40.
41.
Metadaten
Titel
On using an analogy to heat flow for shape extraction
verfasst von
Cem Direkoğlu
Mark S. Nixon
Publikationsdatum
01.05.2013
Verlag
Springer-Verlag
Erschienen in
Pattern Analysis and Applications / Ausgabe 2/2013
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-011-0223-0

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