Bark texture feature extraction based on statistical texture analysis

2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Volumn , Issue , 2004, Pages 482-485

  Wan, Yuan Yuan ^a   Du, Ji Xiang ^a   Huang, De Shuang ^a   Chi, Zheru ^b   Cheung, Yiu Ming ^c   Wang, Xiao Feng ^a   Zhang, Guo Jun ^a  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-CORRELATION METHOD (ACM); HISTOGRAM METHOD (HM); MOVING MEDIAN CENTERS (MMC); RUN LENGTH METHOD (RLM);

ALGORITHMS; COMPUTATIONAL COMPLEXITY; IMAGE ANALYSIS; MATRIX ALGEBRA; SIGNAL PROCESSING; STATISTICAL METHODS; TEXTURES;

FEATURE EXTRACTION;

EID: 14544298250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. M.M.Galloway, Texture Analysis using Gray Level Run Lengths, Computer Graphics and Imag. Processing, vol.4, pp. 1975, 172-179
4. D.S.Huang, Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China, Beijing, 1996.
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6. T. R. Reed and J.M.H. Buf, A review of recent texture segmentation and feature extraction techniques, Computer Vision, Image Processing and Graphics, 57(3): 359-372, 1993.
7. T. Randen and J.H. HusØy, Filtering for texture classification: A comparative study, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(4): 291-310, 1999.