Texture Segmentation Based on Multifractal Dimension

Texture Segmentation Based on Multifractal Dimension 

AzmiTawfik Alrawi1 , Ali makki Sagheer2 and Dheyaa Ahmed Ibrahim3 

1Department of physics, University of Anbar, Ramadi, Iraq  2Department of Information System, University of Anbar,Ramadi,Iraq  3Department of Computer Science, University of Anbar, Ramadi, Iraq 

ABSTRACT 

Texture segmentation can be considered the most important problem, since human can distinguish different textures quit easily, but the automatic segmentation is quit complex and it is still an open problem for research. In this paper focus on implement novel supervised algorithm for multitexture segmentation and this algorithm based on blocking procedure where each image divide into block (16×16 pixels) and extract vector feature for each block to classification these block based on these feature. These feature extract using Box Counting Method (BCM). BCM generate single feature for each block and this feature not enough to characterize each block ,therefore, must be implement algorithm provide more than one slide for the image based on new method produce multithresolding, after this use BCM to generate single feature for each slide.

KEYWORDS

 Texture Segmentation; MultifractalDiension; Fractal Dimension; Box Counting 

Original Source URL : http://airccse.org/journal/ijsc/papers/2112ijsc01.pdf