DocumentCode
3211377
Title
Scale and rotation invariant texture analysis based on structural property
Author
Goyal, R.K. ; Goh, Wang Ling ; Mital, D.P. ; Chan, K.L.
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.
Volume
2
fYear
1995
fDate
6-10 Nov 1995
Firstpage
1290
Abstract
Structural properties of texture elements in a surface have successfully been applied to characterize textures. For this purpose, histograms of a texture element´s properties are used. The compactness property of an element has been used for characterization. The compactness depends upon it´s perimeter. A novel method based on perimeter contribution, to compute the value of the perimeter is presented. The perimeter value computed using the proposed method is closer to the actual, than the perimeter value computed using the conventional methods. The value of perimeter using the proposed method is also more consistent than the conventional methods. The value of compactness using the proposed method is not only closer to the actual value but also more consistent under affine transformations. The invariant histogram of compactness using the invariant value of compactness characterizes the texture invariant of scaling and rotation
Keywords
computer vision; image texture; affine transformations; compactness; computer vision; invariant histogram; perimeter contribution; rotation invariant texture analysis; scale invariant texture analysis; structural property; Histograms; Humans; Image analysis; Image segmentation; Image texture analysis; Pixel; Quantization; Shape; Statistical analysis; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-3026-9
Type
conf
DOI
10.1109/IECON.1995.483983
Filename
483983
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