DocumentCode :
436498
Title :
Application of variogram function in image analysis
Author :
Gui, Feng ; Wei, Lin Qi
Author_Institution :
Inf. Sci. & Technol. Inst., HuaQiao Univ., QuanZhou, China
Volume :
2
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
1099
Abstract :
An algorithm for image analysis that based on variogram function was proposed in this paper. Variogram function can take randomicity of the region variation and the structure of spatial distribution into account. Image data are not pure random variable, they obviously have structure features, so we can put the image data into a regional variable. We use the value of single step variogram function to describe the statistical characters of adjacent points in image, the different texture should have different value of single step variogram function, therefore in this paper we use it as main feature for image segmentation. The method has the merit of direction invariability and a higher sensitivity to different texture.
Keywords :
image segmentation; image texture; statistical analysis; image analysis; image data; image segmentation; image texture; single step variogram function; spatial distribution; statistical character; Argon; Gaussian processes; Image analysis; Image texture analysis; Linearity; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1441515
Filename :
1441515
Link To Document :
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