Local multiple patterns based multiresolution gray-scale and rotation invariant texture classification

Information Sciences ◽

10.1016/j.ins.2011.10.014 ◽

2012 ◽

Vol 187 ◽

pp. 93-108 ◽

Author(s):

Changren Zhu ◽

Runsheng Wang

Keyword(s):

Texture Classification ◽

Rotation Invariant

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A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification

IEEE Access ◽

10.1109/access.2018.2842078 ◽

2018 ◽

Vol 6 ◽

pp. 30691-30701 ◽

Author(s):

Qiqi Kou ◽

Deqiang Cheng ◽

Liangliang Chen ◽

Kai Zhao

Keyword(s):

Texture Classification ◽

Rotation Invariant

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A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification

Lecture Notes in Computer Science - Advances in Pattern Recognition — ICAPR 2001 ◽

10.1007/3-540-44732-6_41 ◽

2001 ◽

pp. 399-408 ◽

Author(s):

Timo Ojala ◽

Matti Pietikäinen ◽

Topi Mäenpää

Keyword(s):

Local Binary Pattern ◽

Texture Classification ◽

Rotation Invariant

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Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns

Computer Vision - ECCV 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45054-8_27 ◽

2000 ◽

pp. 404-420 ◽

Author(s):

Timo Ojala ◽

Matti Pietikäinen ◽

Topi Mäenpää

Keyword(s):

Texture Classification ◽

Local Binary Patterns ◽

Rotation Invariant

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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2002.1017623 ◽

2002 ◽

Vol 24 (7) ◽

pp. 971-987 ◽

Cited By ~ 8764

Author(s):

T. Ojala ◽

M. Pietikainen ◽

T. Maenpaa

Keyword(s):

Texture Classification ◽

Local Binary Patterns ◽

Rotation Invariant

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SVM-PSO based rotation-invariant image texture classification in SVD and DWT domains

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2016.02.005 ◽

2016 ◽

Vol 52 ◽

pp. 96-107 ◽

Author(s):

Bae-Muu Chang ◽

Hung-Hsu Tsai ◽

Chih-Yuan Yen

Keyword(s):

Texture Classification ◽

Image Texture ◽

Rotation Invariant

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Gray-scale morphological granulometric texture classification

Optical Engineering ◽

10.1117/12.173552 ◽

1994 ◽

Vol 33 (8) ◽

pp. 2713 ◽

Author(s):

Yidong Chen

Keyword(s):

Texture Classification ◽

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Rotation-invariant texture classification using a two-stage wavelet packet feature approach

IEE Proceedings - Vision Image and Signal Processing ◽

10.1049/ip-vis:20010705 ◽

2001 ◽

Vol 148 (6) ◽

pp. 422 ◽

Author(s):

C.-M. Pun ◽

M.-C. Lee

Keyword(s):

Texture Classification ◽

Wavelet Packet ◽

Rotation Invariant ◽

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Rotation invariant texture classification using multichannel filtering

10.1117/12.441651 ◽

2001 ◽

Author(s):

Ramchandra Manthalkar ◽

Kumar P. Biswas

Keyword(s):

Texture Classification ◽

Rotation Invariant ◽

Multichannel Filtering

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A Survey of Rotation Invariant Texture Classification Methods

IETE Journal of Research ◽

10.1080/03772063.2002.11416275 ◽

2002 ◽

Vol 48 (3-4) ◽

pp. 189-198

Author(s):

Ramchandra Manthalkar ◽

P K Biswas

Keyword(s):

Texture Classification ◽

Classification Methods ◽

Rotation Invariant

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Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification

Computer Vision and Image Understanding ◽

10.1016/j.cviu.2020.102931 ◽

2020 ◽

Vol 194 ◽

pp. 102931 ◽

Author(s):

Yasseen Almakady ◽

Sasan Mahmoodi ◽

Joy Conway ◽

Michael Bennett

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Texture Classification ◽

Three Dimensional ◽

Rotation Invariant ◽

Gaussian Markov Random Fields ◽

Invariant Features ◽

Markov Random ◽

Volumetric Texture

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