A maximum likelihood approach to texture classification using wavelet transform

Thyagarajan, K. S.; Nguyen, T. Q.; Persons, C. E.

doi:10.1109/icip.1994.413649

Cited by 31 publications

(20 citation statements)

References 9 publications

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“…In the early 1990s, after the wavelet transform was introduced and its theoretical framework was established, many researchers began to study the use of the wavelet transform in texture representation [138,31,73,54,72,159]. In [138,141], Smith and Chang used the statistics (mean and variance) extracted from the wavelet subbands as the texture representation.…”

Section: Texturementioning

confidence: 99%

See 1 more Smart Citation

Image Retrieval: Current Techniques, Promising Directions, and Open Issues

Rui¹,

Huang²,

Chang³

1999

Journal of Visual Communication and Image Representation

1,580

776

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This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image feature representation and extraction, multidimensional indexing, and system design, three of the fundamental bases of content-based image retrieval. Furthermore, based on the state-of-the-art technology available now and the demand from real-world applications, open research issues are identified and future promising research directions are suggested. C

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Section: Texturementioning

confidence: 99%

“…Gross et al used the wavelet transform, together with KL expansion and Kohonen maps, to perform texture analysis in [54]. Thyagarajan et al [159] and Kundu et al [72] combined the wavelet transform with a co-occurrence matrix to take advantage of both statistics-based and transform-based texture analyses.…”

Section: Texturementioning

confidence: 99%

Image Retrieval: Current Techniques, Promising Directions, and Open Issues

Rui¹,

Huang²,

Chang³

1999

Journal of Visual Communication and Image Representation

1,580

776

View full text Add to dashboard Cite

show abstract

“…Combinations of methods have also been proposed. For example, in the 1990s, Thyagarajan et al [9] combined the wavelet transform with Haralick's co-occurrence matrix.…”

mentioning

confidence: 99%

Introduction to Local Binary Patterns: New Variants and Applications

Brahnam

Jain

Lumini

et al. 2013

Local Binary Patterns: New Variants and Applications

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“…A technique using the wavelet transform with KL expansion and Kohonen maps to perform texture analysis can be found in (Gross et al, 1994). The wavelet transform was combined with a co-occurrence matrix in (Thyagarajan et al, 1994) to take advantage of both statistics-based and transform-based texture studies (Rui, Huang, & Chang, 1999).…”

Section: B Texturementioning

confidence: 99%