The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Texture Analysis Using Generalized Co-Occurrence Matrices
Abstract
We present a new approach to texture analysis based on the spatial distribution of local features in unsegmented textures. The textures are described using features derived from generalized co-occurrence matrices (GCM). A GCM is determined by a spatial constraint predicate F and a set of local features P = {(Xi, Yi, di), i = 1,..., m} where (Xi, Yi) is the location of the ith feature, and di is a description of the ith feature. The GCM of P under F, GF, is defined by GF(i, j) = number of pairs, pk, pl such that F(pk, pl) is true and di and dj are the descriptions of pk and pl, respectively. We discuss features derived from GCM's and present an experimental study using natural textures.
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Cites
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
Hartl, P. (1976) · Ecological Studies · doi:10.1007/978-3-642-66236-2_9 · Cited by 1,213
Early processing of visual information
Marr, D. (1976) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1976.0090 · Cited by 1,034
Computer determination of the constituent structure of biological images
Kirsch, R. A. (1971) · Computers and Biomedical Research · doi:10.1016/0010-4809(71)90034-6 · Cited by 606
Segmentation by texture using a co-occurrence matrix and a split-and-merge algorithm
Chen, P. C., & Pavlidis, T. (1979) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(79)90049-2 · Cited by 192
Cited by
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Markov Random Field Texture Models
Cross, G. R., & Jain, A. K. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767341 · Cited by 1,414
Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer
Silva, J., Histace, A., Romain, O., Dray, X., & Granado, B. (2014) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-013-0926-3 · Cited by 1,309
Texture classification using wavelet transform
Arivazhagan, S., & Ganesan, L. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00390-2 · Cited by 506
Neighboring gray level dependence matrix for texture classification
Sun, C., & Wee, W. G. (1983) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(83)90032-4 · Cited by 408
Metadata
- Authors
- Davis, L. S., Johns, S. A., & Aggarwal, J. K.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1979-07
- Volume
- PAMI-1
- Issue
- 3
- Pages
- 251-259
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W1967847028
- Cited by
- 297
- References
- 5
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Davis, L. S., Johns, S. A., & Aggarwal, J. K. (1979). Texture Analysis Using Generalized Co-Occurrence Matrices. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1979.4766921
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