Title
Accurate mesh representation of vector-valued (color) images
Abstract
In this work we present a fast procedure for content- adaptive mesh representation of vector-valued (e.g., color) images. The goal is to obtain a single mesh structure that accurately represents all the individual components of the image. The proposed method is justified by an error bound that is rigorously derived for such a representation. It employs an error-diffusion type algorithm to place the mesh nodes non-uniformly in the image domain according to the image content. Experimental results demonstrate that: (1) a compact and accurate representation for color images can be achieved at low computational cost by the proposed algorithm; and (2) joint treatment of the different image components by the proposed algorithm can result in a more accurate mesh representation than a mesh based on a single image component (such as intensity) alone.
Year
DOI
Venue
2003
10.1109/ICIP.2003.1247059
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference
Keywords
Field
DocType
image colour analysis,image representation,mesh generation,accurate adaptive mesh image representation,error bound,error-diffusion type algorithm,image component,image content,image domain,mesh structure,vector-valued color image
Computer vision,Image gradient,Feature detection (computer vision),Color histogram,Pattern recognition,Computer science,Binary image,Pyramid (image processing),Image processing,Artificial intelligence,Mesh generation,Color image
Conference
Volume
ISSN
ISBN
1
1522-4880
0-7803-7750-8
Citations 
PageRank 
References 
1
0.38
14
Authors
3
Name
Order
Citations
PageRank
Jovan G. Brankov18212.09
Yongyi Yang21409140.74
Miles N. Wernick359561.13