Learning Texture Discrimination Masks

A neural network texture classification method is proposed in this paper. The approach is introduced as a generalization of the multichannel filtering method. Instead of using a general filter bank, a neural network is trained to find a minimal set of specific filters, so that both the feature extraction and classification tasks are performed by the same unified network. The authors compute the error rates for different network parameters, and show the convergence speed of training and node pruning algorithms. The proposed method is demonstrated in several texture classification experiments. It is successfully applied in the tasks of locating barcodes in the images and segmenting a printed page into text, graphics, and background. Compared with the traditional multichannel filtering method, the neural network approach allows one to perform the same texture classification or segmentation task more efficiently. Extensions of the method, as well as its limitations, are discussed in the paper.

[1]  Dennis Gabor,et al.  Theory of communication , 1946 .

[2]  B Julesz,et al.  Inability of Humans to Discriminate between Visual Textures That Agree in Second-Order Statistics—Revisited , 1973, Perception.

[3]  R.M. Haralick,et al.  Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.

[4]  J. Daugman.  Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.

[5]  K. Laws.  Textured Image Segmentation , 1980 .

[6]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[7]  Luc Van Gool,et al.  Texture analysis Anno 1983 , 1985, Comput. Vis. Graph. Image Process..

[8]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[9]  K. K. Benke,et al.  Segmentation of Visually Similar Textures by Convolution Filtering , 1987, Aust. Comput. J..

[10]  Erkki Oja,et al.  Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..

[11]  I. Guyon,et al.  Handwritten digit recognition: applications of neural network chips and automatic learning , 1989, IEEE Communications Magazine.

[12]  Alan C. Bovik,et al.  Analysis of multichannel narrow-band filters for image texture segmentation , 1991, IEEE Trans. Signal Process..

[13]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[14]  Anil K. Jain,et al.  Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..

[15]  Anil K. Jain,et al.  Artificial neural network for nonlinear projection of multivariate data , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[16]  William E. Higgins,et al.  Determining Gabor-filter parameters for texture segmentation , 1992, Other Conferences.

[17]  Russell Reed,et al.  Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.

[18]  Anil K. Jain,et al.  Texture Analysis , 2018, Handbook of Image Processing and Computer Vision.

[19]  C.-C. Jay Kuo,et al.  Texture analysis and classification with tree-structured wavelet transform , 1993, IEEE Trans. Image Process..

[20]  Anil K. Jain,et al.  Bar code localization using texture analysis , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[21]  Christos Faloutsos,et al.  QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.

[22]  Dean A. Pomerleau,et al.  Neural Network Perception for Mobile Robot Guidance , 1993 .

[23]  Anil K. Jain,et al.  Discriminant analysis neural networks , 1993, IEEE International Conference on Neural Networks.

[24]  T. Randen,et al.  Multichannel filtering for image texture segmentation , 1994 .

[25]  Anil K. Jain,et al.  Learning texture discrimination masks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[26]  J. Lampinen,et al.  Unsupervised Learning for Feature Extraction , 1994 .

[27]  Anil K. Jain,et al.  Parsimonious network design and feature selection through node pruning , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[28]  Anil K. Jain,et al.  Automatic filter design for texture discrimination , 1994, Proceedings of 12th International Conference on Pattern Recognition.