A Method of Industrial Image Processing Based on Enhancement of Object Boundaries

Article Preview

Abstract:

In this work, the necessity of automatic processing of images of micro-and nanostructures is shown. A method for preliminary processing of such images for reliable separation of inseparable structures in them is developed. The method is based on a more accurate calculation of the brightness gradient and enhancement of image boundaries. The results of processing a photograph of a nanostructure are presented.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

501-504

Citation:

Online since:

June 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A. A. Orlov, S. S. Sadykov, and A. L. Zhyznyakov, Using the Hough transform for separation and suppression the rib in x-ray scenes, J. Pattern Recogn. Image Anal. Adv. Math. Theory Appl. 11 (2), 365-367 (2001).

Google Scholar

[2] A. A. Orlov and S. S. Sadykov, Analysis and syntheses of the rift images, J. Pattern Recogn. Image Anal. Adv. Math. Theory Appl. 19 (1), 186-189 (2009).

DOI: 10.1134/s1054661809010301

Google Scholar

[3] G. Roughton, A. Varde, S. Robila, and J. Liang, A fea¬ture-based approach for processing nanoscale images, J. SPIE Scanning Microscopy 7729, 772911, 78-87 (2010).

DOI: 10.1117/12.853412

Google Scholar

[4] G. Roughton, L. McKee, A. Varde, S. Robila, and J. Liang, Comparing feature-based and wavelet-based approaches for nanoscale image processing, in Proc. ACM CCSC (Hartford, 2010), pp.127-129.

Google Scholar

[5] A. Sundstrom, Measuring biomolecules: an image processing and length estimation pipeline using atomic force microscopy to measure DNA and RNA with high precision, Masters Thesis (Stockholm, 2008).

Google Scholar