Morphological segmentation and classification of marble textures at macroscopical scale

This paper presents a methodology mainly based on mathematical morphology to segment and classify colour images of polished samples of marbles at the macroscopic scale. The distinct textural regions are segmented through a watershed-based procedure, and the over-segmentation problem is surpassed with the merging of adjacent regions according to criteria based on the analysis of alternative gradients obtained in grey and colour images. The classification of the elementary textural units in three classes (vein, background and transition) is performed with a morphological partitioning method of feature space. The evaluation and analyses of the methodology and alternatives presented are performed on a set of polished Portuguese marbles.

[1]  B. Obara,et al.  Utilisation of the image analysis method for the detection of the morphological anisotropy of calcite grains in marble , 2007 .

[2]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[3]  Joan Serrat,et al.  Segmentation of petrographical images of marbles , 1996 .

[4]  Terry A. Welch,et al.  A Technique for High-Performance Data Compression , 1984, Computer.

[5]  R. Heilbronner,et al.  Strain dependent variation of microstructure and texture in naturally deformed Carrara marble , 2007 .

[6]  João Miguel da Costa Sousa,et al.  Comparison of Intelligent Classification Techniques Applied to Marble Classification , 2004, ICIAR.

[7]  João Miguel da Costa Sousa,et al.  Ant Based Fuzzy Modeling Applied to Marble Classification , 2006, ICIAR.

[8]  M. Erdoğan.  Measurement of polished rock surface brightness by image analysis method , 2000 .

[9]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[10]  S. Dewaele,et al.  Staining of white marble , 2007 .

[11]  A. Hanbury,et al.  A 3D-polar Coordinate Colour Representation Suitable for Image Analysis , 2003 .

[12]  Wilma Polini,et al.  An automatic visual system for marble tile classification , 2002 .

[13]  Jesús Angulo,et al.  Modelling and segmentation of colour images in polar representations , 2007, Image Vis. Comput..

[14]  Serge Beucher,et al.  Use of watersheds in contour detection , 1979 .

[15]  David Benavente,et al.  Petrographic quantification of brecciated rocks by image analysis. Application to the interpretation of elastic wave velocities , 2007 .

[16]  L. M. Tomas-Balibrea,et al.  Classification of marble surfaces using wavelets , 2003 .

[17]  J. Martinez-Alajarin,et al.  Supervised classification of marble textures using support vector machines , 2004 .

[18]  R. Marschallinger,et al.  Automatic mineral classification in the macroscopic scale , 1997 .

[19]  Abraham Lempel,et al.  A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.

[20]  Pedro Pina,et al.  Petrographic Classification at the Macroscopic Scale Using a Mathematical Morphology Based Approach , 2003, IbPRIA.

[21]  Luis-Manuel Tomás-Balibrea,et al.  Automatic system for quality-based classification of marble textures , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[22]  Georgios S. Paschos,et al.  Fast color texture recognition using chromaticity moments , 2000, Pattern Recognit. Lett..

[23]  Roberto Bruno,et al.  Quantitative Identification of Marbles Aesthetical Features , 2005, IbPRIA.

[24]  Jos B. T. M. Roerdink,et al.  The Watershed Transform: Definitions, Algorithms and Parallelization Strategies , 2000, Fundam. Informaticae.

[25]  Antonia Moropoulou,et al.  Optical inspection for quantification of decay on stone surfaces , 2007 .

[26]  Pedro Pina,et al.  A morphological approach for feature space partitioning , 2006, IEEE Geoscience and Remote Sensing Letters.