Title
Active regions for colour texture segmentation integrating region and boundary information
Abstract
ABSTRACT In this paper a colour texture segmentation,method,which unifies region and boundary,information is proposed. The algorithm uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and ini- tialise a set of active regions. Colour texture of regions is modelled by the conjunction of non-parametric techniques of kernel density estimation (which allow to estimate the colour behaviour) and classical co-occurrence matrix based texture features. Therefore, region information is defined and accurate boundary information can be extracted to guide the segmentation,process. Regions concurrently compete for the image pixels in order to segment,the whole image taking both information sources into account. Furthermore, experimental results are shown which prove the performance of the proposed method.
Year
Venue
Keywords
2003
ICIP (3)
co occurrence matrix,image segmentation,image texture,edge detection,kernel density estimate
Field
DocType
Citations 
Computer vision,Pattern recognition,Edge detection,Image texture,Segmentation,Computer science,Image processing,Image segmentation,Artificial intelligence,Pixel,Form perception,Kernel density estimation
Conference
3
PageRank 
References 
Authors
0.41
8
4
Name
Order
Citations
PageRank
Xavier Muñoz130.41
Xavier Cufí226615.85
Jordi Freixenet388764.40
Joan Martí424610.91