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Soft Computing
Published in: Soft Computing 10/2011

01-10-2011 | Focus

An IVFS-based image segmentation methodology for rat gait analysis

Authors: Pedro Couto, Aranzazu Jurio, Artur Varejão, Miguel Pagola, Humberto Bustince, Pedro Melo-Pinto

Published in: Soft Computing | Issue 10/2011

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Abstract

In this work, image segmentation is addressed as the starting point within a motion analysis methodology intended for rat biomechanics behavior characterization. First, we propose a general segmentation framework that uses interval valued fuzzy sets (IVFSs) to determine the optimal image threshold value. The amplitude values of the IVFSs are used for representing the unknowledge/ignorance of an expert on determining whether a pixel belongs to the background or to the object of the image. Then, we introduce an extension of this methodology that uses a heuristic-based multi-threshold approach to determine the optimal threshold. Experimental results are presented.
previous article Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
next article Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels

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Literature
Barrenechea E (2005) Image thresholding with interval-valued fuzzy sets. edge detection. contrast. Ph.D. dissertation, Universidad Pblica de Navarra
Benboudjema D, Pieczynski W (2005) Unsupervised image segmentation using triplet markov fields. Comput Vision Image Underst 99:476–498CrossRef
Bezdek J, Keller J, Krisnapuram R, Pal N (1999) Fuzzy models and algorithms for pattern recognition and image processing. In: Dubois D, Prade H (eds) The handbooks of fuzzy sets series. Kluwer, Boston
Burillo P, Bustince H (1996) Entropy on intuitionistic fuzzy sets and on intervalvalued fuzzy sets. Fuzzy Sets Syst 78:81–103CrossRef
Bustince H, Pagola M, Melo-Pinto P, Barrenechea E, Couto P (2007a) Fuzzy sets and their extensions: representation, aggregation and models. Image threshold computation by modelizing knowledge/unknowledge by means of A-IFSs. In: Studies in fuzziness and soft computing. Springer, Berlin, pp 225–240
Bustince H, Barrenechea E, Pagola M (2007b) Image thresholding using restricted equivalence functions and maximizing the measures of similarity. Fuzzy Sets Syst 158:496–516MathSciNetMATHCrossRef
Bustince H, Barrenechea E, Pagola M (2008) Relationship between restricted dissimilarity functions, restricted equivalence functions and en-functions: image threshold invariant. Pattern Recogn Lett 29:525–536CrossRef
Bustince H, Pagola M, Barrenechea E, Fernandez J, Melo-Pinto P, Couto P, Tizhoosh HR, Montero J (2010) Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets Syst 161:20–36MathSciNetCrossRef
Chi Z, Yan H, Pham T (1998) Optimal image thresholding. In: Fuzzy algorithms: with application to image processing and pattern recognition. World Scientific, Singapore, pp 45–84
Couto P (2006) Image segmentation using atanassov intuitionistic fuzzy sets. Ph.D. dissertation, Trs-os-Montes e Alto Douro University, Vila Real, Portugal
Couto P, Filipe V, Magalhes L, Pereira J, Costa L, Melo-Pinto P, Bulas-Cruz J, Maurcio A, Geuna S, Varejo ASP (2008) A comparison of two-dimensional techniques for the determination of hindlimb kinematics during treadmill locomotion in rats following spinal cord injury. J Neurosci Methods 172(3):193–200CrossRef
Filipe V, Pereira J, Costa L, Maurcio A, Couto P, Melo-Pinto P, Varejo A (2006) Effect of skin movement on the analysis of hindlimb kinematics during treadmill locomotion in rats. J Neurosci Methods 153:55–61CrossRef
Forero MG (2003) Fuzzy thresholding and histogram analysis. In: Nachtegael M, Van der Weken D, Van de Ville D, Kerre EE (eds) Fuzzy filters for image processing. Springer, Berlin, pp 129–152
Haralick R, Shapiro L (1985) Image segmentation techniques. Comput Vision Graphics Image Process 29:100–132CrossRef
Huang L, Wang L (1995) Image thresholding by minimizing the measure of fuzziness. Pattern Recogn 28(1):41–51CrossRef
Jawahar V, Biswas K, Ray K (2000) Analysis of fuzzy thresholding schemes. Pattern Recogn 33:1339–1349CrossRef
Lee C, Chen C (1997) A fast motion estimation algorithm based on the block sum pyramid. IEEE Trans Image Process 6(11):1587–1591CrossRef
Lin Y, Tai S (1997) Fast full search block matching algorithm for motion compensated video compression. IEEE Trans Commun 45(5):527–531CrossRef
Min J, Bowyer K (2005) Improved range image segmentation by analyzing surface fit patterns. Comput Vision Image Underst 97:242–258CrossRef
Otsu N (1979) A threshold selection method from gray level histograms. IEEE Trans Syst Man Cybern 9:62–66CrossRef
Pal N, Pal S (1993) A review on image segmentation techniques. Pattern Recogn 26:1277–1294CrossRef
Pereira J, Cabrita A, Filipe V, Bulas-Cruz J, Couto P, Melo-Pinto P, Costa L, Geuna S, Mauricio A, Varejão A (2006) A comparison analysis of hindlimb kinematics during overground and treadmill locomotion in rats. Behav Brain Res 172:212–218CrossRef
Pereira J, Costa L, Cabrita A, Couto P, Filipe V, Magalhães L, Fonaro M, Scipio S, Geuna S, Maurcio A, Varejão ASP (2009) Methylprednisolone fails to improve functional and histological outcome following spinal cord injury in rats. Exp Neurol 220:71–81CrossRef
Sezgin M, Sankur B (2004) Survey over image thresholding techniques and quantitative performance evaluation. J Electr Imaging 13(1):146–165CrossRef
Steven L, Drew M, Moller T (2007) Full search content independent block matching based on the fast Fourier transform. IEEE ICIP02 1:669–672
Tizhoosh HR (2005) Image thresholding using type-2 fuzzy sets. Pattern Recogn 38:2363–2372MATHCrossRef
Metadata
Title
An IVFS-based image segmentation methodology for rat gait analysis
Authors
Pedro Couto
Aranzazu Jurio
Artur Varejão
Miguel Pagola
Humberto Bustince
Pedro Melo-Pinto
Publication date
01-10-2011
Publisher
Springer-Verlag
Published in
Soft Computing / Issue 10/2011
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-010-0626-7

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