A simplified gravitational model to analyze texture roughness

作者：de Mesquita Sa Junior Jarbas Joaci; Backes Andre Ricardo^*

来源：Pattern Recognition, 2012, 45(2): 732-741.

DOI：10.1016/j.patcog.2011.07.023

• Texture analysis
• Simplified gravitational system
• Complexity
• Bouligand-Minkowski fractal dimension

Textures are among the most important visual attributes in image analysis. This paper presents a novel method to analyze texture, based on representing states of a simplified gravitational collapse from an image and extracting information from each state using fractal dimension. In this approach, an image evolves in times t = {1,2 20}, each time representing a state, which is explored by the Bouligand-Minkowski method using radius r = {3,4, ..., 8}. These parameters allow to create a set of feature vectors, which were extracted from Brodatz's textures and leaf textures. The best classification results were 98.75% and 86.67% of success rate (percentage of samples correctly classified) for these two databases, respectively. These results prove that the proposed approach opens a promising source of research in texture analysis to be explored.

• 出版日期2012-2