Material classification using morphological pattern spectrum for extracting textural features from material micrographs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3852 LNCS, Issue , 2006, Pages 623-632

  Ghosh, D ^a   Wei, David C Tou ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; FEATURE EXTRACTION; GRAIN SIZE AND SHAPE; MORPHOLOGY; PATTERN MATCHING; SPECTRUM ANALYSIS;

GRAIN GEOMETRY; MATERIAL CLASSIFICATION; MATERIAL MICROGRAPHS; SIZE-INTENSITY-DIAGRAM (SID); TEXTURAL FEATURES; TRI-VARIATE PATTERN SPECTRUM (TPS);

COMPUTER VISION;

EID: 33744935766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11612704_62     Document Type: Conference Paper

References (22)

1. Dana, K., van Ginneken, B., Nayar, S., Koenderink, J.: Reflectance and texture of real world surfaces. ACM Trans. Graphics 18 (1999) 1-34
2. Chantier, M., McGunnigle, G., Wu, J.: Surface rotation invariant texture classification using photometric stereo and surface magnitude spectra. In: Proc. 11th British Machine Vision Conf., Bristol, UK (2000) 486-495
3. Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three dimensional textons. Intl. J. Computer Vision 43 (2001) 29-44
4. Varma, M., Zisserman, A.: Classifying images of materials: Achieving viewpoint and illumination independence. In: Proc. 7th European Conf. Computer Vision. Volume 3., Denmark (2002) 255-271
5. Varma, M., Zisserman, A.: Statistical approaches to material classification. In: Proc. 3rd Indian Conf. Computer Vision, Graphics and Image Processing, Ahmedabad, India (2002) 167-172
6. Meloy, T.: Shape characterization of particles - problems and progress. In: Advanced Materials - Application of Mineral and Metallurgical Processing Principles, Society of Mining Engineers of AIME, USA (1990) 195-203
7. Nicoletti, D., Bilgutay, N., Onaral, B.: Power-law relationships between the dependence of ultrasonic attenuation on wavelength and the grain size distribution. J. Acoustical Society of America 91 (1992) 3278-3284
8. Wang, W., Bergholm, F.: On moment-based edge density for automatic size inspection. In: Proc. 9th Scandinavian Conf. Image Analysis. Volume 2., Sweden (1995) 895-904
9. Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, London (1982)
10. Huet, F., Mattioli, J.: A textural analysis by mathematical morphology transformations: Structural opening and top-hat. In: Proc. Intl. Conf. Image Processing. Volume 3., Switzerland (1996) 49-52
11. Li, W., Hease-Coat, V., Ronsin, J.: Robust morphological features for texture classification. In: Proc. Intl. Conf. Image Processing. Volume 3., Switzerland (1996) 173-176
12. Asano, A.: Texture analysis using morphological pattern spectrum and optimization of structuring element. In: Proc. 10th Intl. Conf. Image Analysis and Processing, Italy (1999) 209-214
13. Singh, S., Kumar, V., Ghosh, D.: Binary texture analysis and classification using bi-variate morphological pattern spectrum. In: Proc. Intl. Conf. Imaging Science, Systems and Technology. Volume 2., Las Vegas (2001) 790-795
14. Rautio, H., Silven, O.: Average grain size determination using mathematical morphology and texture analysis. In: Proc. 6th IAPR Workshop on Machine Vision Applications, Japan (1998) 506-509
15. Maragos, P.: Pattern spectrum and multiscale shape representation. IEEE Trans. Pattern Analysis & Machine Intelligence 11 (1989) 701-715
16. Trettel, E., Lotufo, R.: The size-intensity diagram: A gray-scale granulometric analysis tool. In: Proc. 9th Brazilian Symp. Computer Graphics and Image Processing, Caxambu, Brazil (1996) 259-264
17. Ghosh, P., Chanda, B.: Bi-variate pattern spectrum. In: Proc. 11th Brazilian Symp. Computer Graphics and Image Processing, Rio de Janeiro, Brazil (1998) 476-483
18. Athreya, G., Ghosh, D.: Trivariate pattern spectrum: A shape-size descriptor for gray scale images. In: Proc. 8th Natl. Conf. Communications, Mumbai, India (2002) 40-44
19. Giardina, C., Dougherty, E.: Morphological Methods in Image and Signal Processing. Prentice-Hall, Englewood Cliffs, New Jersey (1998)
20. Sternberg, S.: Grayscale morphology. Computer Vision, Graphics and Image Processing 35 (1986) 333-355
21. Asano, A., Miyagawa, M., Fujio, M.: Texture modelling by optimal gray scale structuring element using morphological pattern spectrum. In: Proc. 15th Intl. Conf. Pattern Recognition. Volume 3., Spain (2000) 475-478
22. Athreya, G., Ghosh, D., Chakrabarti, I.: Texture classification using morphological trivariate pattern spectrum for texture description. In: Proc. Intl. Conf. Imaging Science, Systems and Technology. Volume 2., Las Vegas (2002) 830-836