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A New Method of Texture Classification using various Wavelet
Transforms based on Primitive Patterns
Vakulabharanam
Vijaya Kumar1, U S N Raju2, K
Chandra Sekaran 3,
V V Krishna4
1Dean
and Professor, Dept. of CSE& IT,
Godavari Institute of Engg. and
Tech., Rajahmundry, A.P., India
2Associate
Professor, Dept. of CSE, Godavari Institute of Engg. and Tech.,
A.P., Rajahmundry, India
3Professor
of CSE, National Institute of Technology, Surathkal, Karnataka,
India
4Professrorof
CSE and Principal, Vidya Vikas college of Engineering,
Hyderabad, A.P., India
Abstract Study of patterns on a local neighborhood of a texture plays an important role in the characterization and classification of the textures. The present paper assumes that texture is characterized not only by gray value at a pixel but also the gray value pattern in a neighborhood, surrounding the pixel. To achieve this goal the present paper studies the accuracy rate of primitive pattern trends in various wavelet transforms. A 4×4 neighborhood of original image will be converted into a 2×2 neighborhood by any wavelet transform in any sub band. To achieve integrity, the patterns of 4×4 mask of original image are compared with same 2×2 mask of wavelet image. A new method is introduced in the present paper which is different from distance function for classification of textures based on primitive patterns. The classification rates are compared with original image and with other wavelet transformed images and also between each of the wavelet images. The experimental result on 24 Brodatz textures indicates good comparison of percentage of texture classification rate based on various linear patterns. Keywords: Texture, Wavelet Transforms, Gray value pattern, Accuracy rate of primitive patterns.
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Biographies:
BibTex: @ARTICLE{P1150819004, AUTHOR = {Vakulabharanam Vijaya Kumar and, U S N Raju and K Chandra Sekaran and V V Krishna}, TITLE = {A New Method of Texture Classification using various Wavelet Transforms based on Primitive Patterns}, JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP}, YEAR = {2008},
VOLUME = {08}, ISSUE ={II}, PAGES={21--27} }
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