Classification and feature extraction of binucleate cells using Mahalanobis distance and Gabor wavelet analysis

A hybrid methodology of feature extraction and classification is proposed in this paper to classify binucleate and non-binucleate or normal cells. The proposed methodology consists of a Gabor filter-based feature extraction using two types of Gabor filters, namely circular Gabor and Gabor wavelet. Feature matrix considering mean and variance are calculated in sets of 50 for each of the filters. Thereafter, dimensionality reduction is done using a binary particle swarm optimisation (BPSO) technique to screen out the redundant features. Finally, Mahalanobis distance (MD) is used to classify the images into respective classes using the reduced set of features. To show the efficacy and robustness of the proposed hybrid technique using Gabor wavelets, the classification accuracy is calculated and compared with circular Gabor.

[1]  Fu-Ding Xie,et al.  Image segmentation using PSO and PCM with Mahalanobis distance , 2011, Expert Syst. Appl..

[2]  J. Daugman.  Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.

[3]  Saiful Islam,et al.  Mahalanobis Distance , 2009, Encyclopedia of Biometrics.

[4]  M. A. Khanesar,et al.  A novel binary particle swarm optimization , 2007, 2007 Mediterranean Conference on Control & Automation.

[5]  Guojun Lu,et al.  Content-based Image Retrieval Using Gabor Texture Features , 2000 .

[6]  Abdel-Badeeh M. Salem,et al.  A HYBRID TECHNIQUE FOR AUTOMATIC MRI BRAIN IMAGES CLASSIFICATION , 2009 .

[7]  Jin Chen,et al.  Gabor features for offline Arabic handwriting recognition , 2010, DAS '10.

[8]  Feiping Nie,et al.  Learning a Mahalanobis distance metric for data clustering and classification , 2008, Pattern Recognit..

[9]  Yoshihiko Hamamoto,et al.  A gabor filter-based method for recognizing handwritten numerals , 1998, Pattern Recognit..

[10]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[11]  Hongguang Sun,et al.  PSO based Gabor wavelet feature extraction method , 2004, International Conference on Information Acquisition, 2004. Proceedings..

[12]  Lior Shamir,et al.  IICBU 2008: a proposed benchmark suite for biological image analysis , 2008, Medical & Biological Engineering & Computing.

[13]  Bedrich J. Hosticka,et al.  A comparison of texture feature extraction using adaptive gabor filtering, pyramidal and tree structured wavelet transforms , 1996, Pattern Recognit..

[14]  Joni-Kristian Kämäräinen,et al.  Simple Gabor feature space for invariant object recognition , 2004, Pattern Recognit. Lett..

[15]  Tieniu Tan,et al.  Invariant texture segmentation via circular Gabor filters , 2002, Object recognition supported by user interaction for service robots.

[16]  J. P. Jones,et al.  An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[17]  Dennis Gabor,et al.  Theory of communication , 1946 .

[18]  Nikolay Petkov,et al.  Biologically motivated computationally intensive approaches to image pattern recognition , 1995, Future Gener. Comput. Syst..

[19]  Dorothee P. Auer,et al.  Classificatioo of MR Tumor Images Based on Gabor Wavelet Analysis , 2012 .

[20]  Osmar R. Zaïane,et al.  Application of Data Mining Techniques for Medical Image Classification , 2001, MDM/KDD.

[21]  Volker Schmid,et al.  Pattern Recognition and Signal Analysis in Medical Imaging , 2003 .

[22]  M.T. Rahman,et al.  Face recognition using Gabor Filters , 2008, 2008 11th International Conference on Computer and Information Technology.

[23]  Jhareswar Maiti,et al.  Development of a hybrid methodology for dimensionality reduction in Mahalanobis-Taguchi system using Mahalanobis distance and binary particle swarm optimization , 2010, Expert Syst. Appl..

[24]  Edward A. Patrick,et al.  Review of Pattern Recognition in Medical Diagnosis and Consulting Relative to a New System Model , 1974, IEEE Trans. Syst. Man Cybern..

[25]  M. Cevdet Ince,et al.  An expert system for detection of breast cancer based on association rules and neural network , 2009, Expert Syst. Appl..

[26]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[27]  Nei Kato,et al.  A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance , 1999, IEEE Trans. Pattern Anal. Mach. Intell..