Analyzing and processing the images of self-organized patterns

Xiaohong Yang; Shuhua Liu

doi:10.1117/12.830877

20 May 2009 Analyzing and processing the images of self-organized patterns

Xiaohong Yang, Shuhua Liu

Proceedings Volume 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 72821J (2009) https://doi.org/10.1117/12.830877
Event: AOMATT 2008 - 4th International Symposium on Advanced Optical Manufacturing, 2008, Chengdu, Chengdu, China

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.

Citation Download Citation

Xiaohong Yang and Shuhua Liu "Analyzing and processing the images of self-organized patterns", Proc. SPIE 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 72821J (20 May 2009); https://doi.org/10.1117/12.830877

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