Rapid extraction of image texture by co-occurrence using a hybrid data structure

Computers and Geosciences

Volumn 28, Issue 6, 2002, Pages 763-774

  Clausi, David A ^a   Zhao, Yongping ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Co occurrence probabilities; Hash table; Linked list; Remote sensing imagery; Texture features

Indexed keywords

COMPUTATIONAL METHODS; DATA STRUCTURES; FEATURE EXTRACTION; HYBRID COMPUTERS; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; UNIX;

IMAGE TEXTURES;

GEOLOGY;

IMAGE PROCESSING; REMOTE SENSING; SOFTWARE; TEXTURE;

COMPUTER NETWORK; GREY LEVEL CO OCCURRENCE MATRIX; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; PROBABILITY; STATISTICAL ANALYSIS;

EID: 0036641822     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-3004(01)00108-X     Document Type: Article

References (10)

1. An investigation of the textural characteristics associated with Gray level cooccurrence matrix statistical parameters
2. SAR sea ice discrimination using texture statistics: A multivariate approach
3. A fast method to determine co-occurrence texture features
4. Texture features for image classification
5. Evaluation of second-order texture parameters for sea ice classification from radar images
6. Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices