Texture sparseness for pixel classification of business document images-Reference-Cited by-同舟云学术

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Texture sparseness for pixel classification of business document images

Published:2014-02-12 Issue:3 Volume:17 Page:257-273
ISSN:1433-2833
Container-title:International Journal on Document Analysis and Recognition (IJDAR)
language:en
Short-container-title:IJDAR

Author:

Cote Melissa,Branzan Albu Alexandra

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s10032-014-0217-8.pdf

Reference60 articles.

1. Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst, Man Cybern. SMC–3(6), 610–621 (1973)

2. Galloway, M.M.: Texture analysis using gray level run lengths. Comput. Graph. Image Process. 4(2), 172–179 (1975)

3. Tuceryan, M., Jain, A.K.: Texture analysis. In: Chen, C.H., Pau, L.F., Wang, P.S.P. (eds.) Handbook of Pattern Recognition and Computer Vision, pp. 235–276. World Scientific, Singapore (1993)

4. Turner, M.R.: Texture discrimination by Gabor functions. Biol. Cybern. 55(2–3), 71–82 (1986)

5. Liu, Y., Srihari, S.N.: Document image binarization based on texture features. IEEE Trans. Pattern Anal. Mach. Intell. 19(5), 540–544 (1997)

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