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Proceedings Paper

Analyzing and processing the images of self-organized patterns
Author(s): Xiaohong Yang; Shuhua Liu
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Paper Abstract

Some practical methods are presented for analyzing and processing the images of self-organized patterns with Matlab 6.5, including "adumbrating the patterns", "adjusting the images", "locating the pattern units", "describing the brightness distribution", "Fourier transformation", and so on. Adjusting the images is to make some characteristics of the patterns more evidently. The method we use for adjusting the patterns is mapping the brightness of the original patterns to a new range of value. The spatial brightness distribution in the patterns can be obtained with the function "improfile", which computes the intensity values along a line or alone specified points in the image by using interpolation arithmetic. the types of the self-organized patterns can be determined by obtaining the spatial frequency spectrum of the patterns using Fourier transform. The location of the units is pinpointed by convolution operation between the unit digital picture and the pattern digital picture.

Paper Details

Date Published: 21 May 2009
PDF: 6 pages
Proc. SPIE 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 72821J (21 May 2009); doi: 10.1117/12.830877
Show Author Affiliations
Xiaohong Yang, North China Electric Power Univ. (China)
Shuhua Liu, Agricultural Univ. of Hebei (China)


Published in SPIE Proceedings Vol. 7282:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies

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