Mutual Information-Based Texture Spectral Similarity Criterion

Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures.

[1]  Gabriel Peyré,et al.  A Smoothed Dual Approach for Variational Wasserstein Problems , 2015, SIAM J. Imaging Sci..

[2]  Kenneth I. Laws,et al.  Rapid Texture Identification , 1980, Optics & Photonics.

[3]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[4]  Michal Haindl,et al.  Unsupervised Texture Segmentation Using Multispectral Modelling Approach , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[5]  Stefan M. Rüger,et al.  Fractional Distance Measures for Content-Based Image Retrieval , 2005, ECIR.

[6]  Michal Haindl,et al.  Texture fidelity criterion , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[7]  Michal Haindl,et al.  Texture spectral similarity criteria , 2019, IET Image Process..

[8]  B. N. Chatterji,et al.  Comparison of similarity metrics for texture image retrieval , 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

[9]  DeLiang Wang,et al.  Factorization-Based Texture Segmentation , 2015, IEEE Transactions on Image Processing.

[10]  L. R. Dice.  Measures of the Amount of Ecologic Association Between Species , 1945 .

[11]  Ralf Sarlette,et al.  Efficient and Realistic Visualization of Cloth , 2003, Rendering Techniques.

[12]  Joachim M. Buhmann,et al.  Non-parametric similarity measures for unsupervised texture segmentation and image retrieval , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  David L. Neuhoff,et al.  Structural Texture Similarity Metrics for Image Analysis and Retrieval , 2013, IEEE Transactions on Image Processing.

[14]  P. Jaccard,et al.  Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .

[15]  Mary M. Galloway,et al.  Texture analysis using gray level run lengths , 1974 .

[16]  Michal Haindl,et al.  Texture fidelity benchmark , 2014, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

[17]  Zhou Wang,et al.  Translation insensitive image similarity in complex wavelet domain , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[18]  Guojun Lu,et al.  Evaluation of similarity measurement for image retrieval , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

[19]  Shree K. Nayar,et al.  Reflectance and texture of real-world surfaces , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[20]  L. Gool,et al.  Color-Based Moment Invariants for Viewpoint and Illumination Independent Recognition of Planar Color Patterns , 1999 .

[21]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[22]  B. S. Manjunath,et al.  Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[25]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[26]  E. Krahmer,et al.  Color in Reference Production: The Role of Color Similarity and Color Codability. , 2017, Cognitive science.