A Theoretical Comparison of Texture Algorithms
- 1 May 1980
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Ieee Transactions On Pattern Analysis and Machine Intelligence
- Vol. PAMI-2 (3), 204-222
- https://doi.org/10.1109/tpami.1980.4767008
Abstract
An evaluation of the ability of four texture analysis algorithms to perform automatic texture discrimination will be described. The algorithms which will be examined are the spatial gray level dependence method (SGLDM), the gray level run length method (GLRLM), the gray level difference method (GLDM), and the power spectral method (PSM). The evaluation procedure employed does not depend on the set of features used with each algorithm or the pattern recognition scheme. Rather, what is examined is the amount of texturecontext information contained in the spatial gray level dependence matrices, the gray level run length matrices, the gray level difference density functions, and the power spectrum. The comparison will be performed in two steps. First, only Markov generated textures will be considered. The Markov textures employed are similar to the ones used by perceptual psychologist B. Julesz in his investigations of human texture perception. These Markov textures provide a convenient mechanism for generating certain example texture pairs which are important in the analysis process. In the second part of the analysis the results obtained by considering only Markov textures will be extended to all textures which can be represented by translation stationary random fields of order two. This generalization clearly includes a much broader class of textures than Markovian ones. The results obtained indicate that the SGLDM is the most powerful algorithm of the four considered, and that the GLDM is more powerful than the PSM.Keywords
This publication has 22 references indexed in Scilit:
- Automated Computer Screening of Chest Radiographs for PneumoconiosisInvestigative Radiology, 1976
- Texture gradient as a depth cueComputer Graphics and Image Processing, 1976
- Texture analysis using gray level run lengthsComputer Graphics and Image Processing, 1975
- An Optical-Digital System For Automatic Processing Of Chest X-RaysOptical Engineering, 1974
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973
- Computer identification of visual surfacesComputer Graphics and Image Processing, 1973
- Visual discrimination thresholds for one- and two-dimensional Markov spatial constraintsPerception & Psychophysics, 1972
- CLUSTER FORMATION AT VARIOUS PERCEPTUAL LEVELS**International Conference on Methodologies of Pattern Recognition, Honolulu, Hawaii, January 24-26, 1968.Published by Elsevier BV ,1969
- The perception of a visual texture.Journal of Experimental Psychology, 1964
- Visual Pattern DiscriminationIEEE Transactions on Information Theory, 1962