DocumentCode
532199
Title
Image coding using characteristic points based triangulation
Author
Hu Weijun ; Wan Lin ; Fu Min
Author_Institution
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
5
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Based on computational geometry of the triangle, triangular mesh representation model of image is efficient to represent images, which has great use video communication, three-dimensional reconstruction and so on. Referring to the idea of contour extraction, characteristic points of image border can be extracted by use of polygon growing algorithm, Delaunay triangular mesh can be initialized with improved Lawson algorithm. A technique on refinement of original triangular mesh is devised. This algorithm considers both small errors and homogenization errors of gray scale on the initial of mesh. The experimental results indicates that compared with traditional characteristic points extracted algorithm, the number of characteristic points extracted by this algorithm is approximately reduced by 10%, and the quality of reconstructed image is obviously improved. So this algorithm can be considered to be an effective triangular method of images.
Keywords
computational geometry; feature extraction; image coding; image representation; mesh generation; Delaunay triangular mesh; Lawson algorithm; characteristic points based triangulation; computational geometry; contour extraction; image coding; polygon growing algorithm; triangular mesh representation model; video communication; Corporate acquisitions; Variable speed drives; Delaunay triangular mesh; characteristic point; polygon growing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620128
Filename
5620128
Link To Document