Color texture classification based on gravitational collapse

Texture and color are essential attributes to be analyzed for any robust computer vision system. This paper presents a novel method to analyze color-texture images, based on representing states of a simplified gravitational collapse from each image color channel and extracting information from each state using the Bouligand-Minkowski fractal dimension and the lacunarity method. In this approach, we obtained the best classification results when the images of each channel evolved in times t={1,5,10,15}, each time representing a state, using radius r={3,4,5,6} for the Bouligand-Minkowski method and box size l={2,3,4,5,6} for the lacunarity method. The best classification results were 99.37% and 96.57% of success rate (percentage of samples correctly classified) for VisTex and USPTex databases, respectively. These results prove that the proposed approach opens a promising source of research in color texture analysis still to be explored.

[1]  Arnold W. M. Smeulders,et al.  Color texture measurement and segmentation , 2005, Signal Process..

[2]  J. Pujari,et al.  WAVELET BASED FEATURES FOR COLOR TEXTURE CLASSIFICATION WITH APPLICATION TO CBIR , 2006 .

[3]  Francesco Bianconi,et al.  Rotation-invariant colour texture classification through multilayer CCR , 2009, Pattern Recognit. Lett..

[4]  C. Allain,et al.  Characterizing the lacunarity of random and deterministic fractal sets. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[5]  Pinliang Dong,et al.  Test of a new lacunarity estimation method for image texture analysis , 2000 .

[6]  J. Geusebroek,et al.  Measurement of Color Texture , 2002 .

[7]  Thomas S. Huang,et al.  Segmentation of road scenes using color and fractal-based texture classification , 1994, Proceedings of 1st International Conference on Image Processing.

[8]  André Ricardo Backes,et al.  Color texture analysis based on fractal descriptors , 2012, Pattern Recognit..

[9]  Tat Soon Yeo,et al.  A novel lacunarity estimation method applied to SAR image segmentation , 2002, IEEE Trans. Geosci. Remote. Sens..

[10]  David Menotti,et al.  Lacunarity as a Texture Measure for Address Block Segmentation , 2005, CIARP.

[11]  Maria Petrou,et al.  Histogram ratio features for color texture classification , 2003, Pattern Recognit. Lett..

[12]  L. Macaire,et al.  Haralick feature extraction from LBP images for color texture classification , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

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

[14]  R. D. Blandford.  Origin and Evolution of Massive Black Holes in Galactic Nuclei , 1999 .

[15]  André Ricardo Backes,et al.  A Simplified Gravitational Model for Texture Analysis , 2011, CAIP.

[16]  Paul F. Whelan,et al.  Image segmentation based on the integration of colour-texture descriptors - A review , 2011, Pattern Recognit..

[17]  J. Overall,et al.  Applied multivariate analysis , 1983 .

[18]  Amit Jain,et al.  A multiscale representation including opponent color features for texture recognition , 1998, IEEE Trans. Image Process..

[19]  Georgios S. Paschos,et al.  Perceptually uniform color spaces for color texture analysis: an empirical evaluation , 2001, IEEE Trans. Image Process..

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

[21]  Christoph Palm,et al.  Color texture classification by integrative Co-occurrence matrices , 2004, Pattern Recognit..

[22]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[23]  C. Tricot.  Curves and Fractal Dimension , 1994 .

[24]  Lei Zhang,et al.  Image Retrieval Based on Micro-structure Descriptor , 2022 .

[25]  Paul F. Whelan,et al.  Experiments in colour texture analysis , 2001, Pattern Recognit. Lett..

[26]  André Ricardo Backes,et al.  A simplified gravitational model to analyze texture roughness , 2012, Pattern Recognit..

[27]  B. Mandelbrot.  Fractal Geometry of Nature , 1984 .

[28]  Keinosuke Fukunaga,et al.  Introduction to statistical pattern recognition (2nd ed.) , 1990 .

[29]  André Ricardo Backes,et al.  Plant Leaf Identification Based on Volumetric Fractal Dimension , 2009, Int. J. Pattern Recognit. Artif. Intell..

[30]  Bidyut Baran Chaudhuri,et al.  Texture Segmentation Using Fractal Dimension , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  K. Mervyn Curtis,et al.  Shape recognition using fractal geometry , 1997, Pattern Recognit..