Texture Images Classification Algorithm Combining Wavelet Transform and Capsule Network

Zhiyong Tao; jie Li; Xiaoliang Tang

doi:10.3788/LOP57.241002

[1] Li X C, Ma H Y, Lin S. Palmprint recognition based on subspace and texture feature fusion[J]. Laser & Optoelectronics Progress, 56, 071007(2019).

[2] Yuan L S, Lou M Y, Liu Y Q et al. Palm vein classification based on deep neural network and random forest[J]. Laser & Optoelectronics Progress, 56, 101010(2019).

[3] Yang H X, Chen Y, Zhang F et al. Face recognition based on improved gradient local binary pattern[J]. Laser & Optoelectronics Progress, 55, 061004(2018).

[4] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 971-987(2002).

[5] Liu L, Fieguth P. Texture classification from random features[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 574-586(2012). http://ieeexplore.ieee.org/document/6136524

[6] Varma M, Pattern Recognition. Madison, WI,. USA. New York: IEEE, 2003: II-691.(2003).

[7] Arvis V, Debain C, Berducat M et al. Generalization of the cooccurrence matrix for colour images: application to colour texture classification[J]. Image Analysis & Stereology, 23, 63-72(2011). http://www.oalib.com/paper/2348607

[8] Tivive F H C, Bouzerdoum A. Texture classification using convolutional neural networks. [C]∥TENCON 2006-2006 IEEE Region 10 Conference, November 14-17, 2006, Hong Kong, China. New York: IEEE, 1-4(2006).

[10] Cimpoi M, Maji S, Vedaldi A. Deep filter banks for texture recognition and segmentation. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 3828-3836(2015).

[11] Bello-Cerezo R, Bianconi F, Cascianelli S et al. Hand-designed local image descriptors vs. off-the-shelf CNN-based features for texture classification: an experimental comparison[M]. ∥De Pietro G, Gallo L, Howlett R, et al. Intelligent Interactive Multimedia Systems and Services 2017. Smart Innovation, Systems and Technologies. Cham: Springer, 76, 1-10(2017).

[12] Mallat S G. A theory for multiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 674-693(1989).

[13] Fujieda S, Takayama K, Hachisuka T[2020-04-02]. Wavelet convolutional neural networks [2020-04-02].https:∥arxiv., org/abs/1805, 08620.

[14] Liu P J, Zhang H Z, Lian W et al. Multi-level wavelet convolutional neural networks[J]. IEEE Access, 7, 74973-74985(2019).

[15] Sabour S, Frosst N, Hinton G E[2020-04-05]. Dynamic routing between capsules [2020-04-05].https:∥arxiv., org/abs/1710, 09829.

[16] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

[17] Huang G. Liu Z,van der Maaten L, et al. Densely connected convolutional networks. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2261-2269(2017).

[18] Sabour S, Frosst N, Hinton G. Matrix capsules with EM routing. [C]∥6th International Conference on Learning Representations, April 30-May 3, 2018, BC, Canada. Vancouver: ICLR, 1-15(2018).

[19] Mo W L. Research on gesture recognition method based on computer vision[D]. Guilin: Guangxi Normal University(2019).

[20] Su J L[2020-03-21]. Capsule: matrix Capsule and EM routing [2020-03-21].https:∥kexue.fm/archives/5155..

[21] Hayman E, Caputo B, Fritz M et al. On the significance of real-world conditions for material classification[M]. ∥Pajdla T, Matas J, et al. Computer Vision-ECCV 2004. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 3024, 253-266(2004).

[22] Kylberg G[2020-03-10]. The Kylberg texture dataset v. 1.0 [2020-03-10]. https:∥www.researchgate.net/publication/249656240_Kylberg_Texture_Dataset_v_10..

[23] Lazebnik S, Schmid C, Ponce J. A sparse texture representation using local affine regions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1265-1278(2005).

[24] Ojala T, Pietikäinen M, Harwood D. A comparative study of texture measures with classification based on featured distributions[J]. Pattern Recognition, 29, 51-59(1996).

[25] Jin H L, Liu Q S, Lu H Q et al. Face detection using improved LBP under Bayesian framework. [C]∥Third International Conference on Image and Graphics (ICIG'04), December 18-20, 2004, Hong Kong, China. New York: IEEE, 306-309(2004).

[26] Iakovidis D K, Keramidas E G, Maroulis D. Fuzzy local binary patterns for ultrasound texture characterization[M]. ∥Campilho A, Kamel M, et al. Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 5112, 750-759(2008).

[27] Florindo J B, Casanova D, Bruno O M. A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors[J]. Information Sciences, 459, 36-52(2018).

[28] Zhao Y, Wang R G, Wang W M et al. Local quantization code histogram for texture classification[J]. Neurocomputing, 207, 354-364(2016).

[29] Song T C, Xin L L, Gao C Q et al. Grayscale-inversion and rotation invariant texture description using sorted local gradient pattern[J]. IEEE Signal Processing Letters, 25, 625-629(2018).

[30] Elmerabet Y, Ruichek Y. Local concave-and-convex micro-structure patterns for texture classification[J]. Pattern Recognition, 76, 303-322(2018).

[31] Chakraborty S, Singh S K, Chakraborty P. Local quadruple pattern:a novel descriptor for facial image recognition and retrieval[J]. Computers & Electrical Engineering, 62, 92-104(2017).

[32] Andrearczyk V, Whelan P F. Using filter banks inconvolutional neural networks for texture classification[J]. Pattern Recognition Letters, 84, 63-69(2016).

[33] Zheng H T, Fang L, Ji M Q et al. Deep learning for surface material classification using haptic and visual information[J]. IEEE Transactions on Multimedia, 18, 2407-2416(2016).

[34] Zhang H, Xue J, Dana K. Deep TEN: texture encoding network. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2896-2905(2017).

[35] Song Y, Zhang F, Li Q et al. Locally-transferred fisher vectors for texture classification. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 4922-4930(2017).

CLP Journals