Combined  STATISTICAL AND structural approach FOR UNSUPERVISED TEXTURE CLASSIFICATION

C.Umarani^*,   S. Radhakrishnan^**,   L.Ganesan*

* Department of CSE,  A C College of Engg & Tech ,  Karaikudi – 630 004, TamilNadu, India

 ** Professor, Department of CSE, Kalasalingam University, KrishnanKovil, TamilNadu, India

Abstract:

In this paper a combined statistical and structural approach has been employed for texture representation. A set of Texture Primitives has been suggested. These primitives are basically tested for the presence of texture by conducting a suitable statistical test called Nair’s test. The set of universal primitives are labeled as local descriptor and the frequency of occurrences of these primitives is used as the global descriptor, namely Texture Primitive Spectrum for a given texture image. Since the occurrence of primitives and their placement rules uniquely define a texture image, the primitive spectrum is also unique, for a texture image. These spectrums are shown to be effectively used for un supervised texture classification for Brodatz and Vistex data bases of texture   images.  An average correct classification of 96% has been obtained.  

Keywords: Texture- Primitives – Universal set of Primitives – global descriptor - Texture Primitive Spectrum – Unsupervised texture classification.

C.Umarani graduated her  B.E. in Computer Science and Engineering from Madurai Kamaraj University during the year 1996. Subquently she qulaified her Master degree in Computer Science and Engineering  from Madurai Kamaraj University during the year 2000.She is presently as faculty in CSE Department at A.C. College of  Engineering and Technology, Karaikudi, Tamilnadu. She is purusing her research in the area of digital Image Processing from the year 2003.Her field of interests include Data structures and algorith

Dr.S.Radhakrishnan is presently working as Senior Professor and Head, Department of Computer Science and Engineering at Kalasalingam University, Krishnankoil, Tamilnadu. He has completed his M.Tech. and Ph.D. in Biomedical Engineering from Institute of Technology, Banaras Hindu University. He has more than 18 years of experience in teaching and research. He has guided more than 50 M.E./M.Tech. projects and 10 M.Phil.Thesis. His fields of interests are Network Engineering. Computer Applications in medicine and evolutionary computing. He is also serving as Project Director(Network technologies)  in TIFAC CORE in Network Engineering at Kalasalingam University. He has more than 25 publications to his credit

Dr.L.Ganesan is presently working aa Head , Department of Computer Science and Engineering, at A.C.College of  Engineering and Technology, Karaikudi, Tamilnadu. He has graduated his B.E. in ECE in the year 1983 from Madurai Kamaraj University. Subquently he qulaified his Master degree in Computer Science and Engineering  from Government College of Technology , Bharthiar University, Coimbatore.He qulaifed Doctoral degree from Indian Institute of Technology , Kharagpur, West Bengal, India in the year 1996.His interests includes Computer vision , Texture analysis and Software Engineering.He is a life member of ISTE.

BibTex:

@ARTICLE{P1150705001,

AUTHOR = {C. Umarani and S. Radhakrishnan},

TITLE = {Combined  STATISTICAL AND structural approach FOR UNSUPERVISED TEXTURE CLASSIFICATION},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2007},

VOLUME = {07},

ISSUE ={1},

PAGES={31--36}

}

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