Metallographical Image Segmentation and Compression

Qiu Dong Sun; Shun Fu Gao; Jiang Wei Huang; Wei Chen

doi:10.4028/www.scientific.net/AMM.152-154.276

Paper Titles

The Way of Obtain C₆H₁₀O⁺ Fragments Laser-Induced by C₇H₁₂O⁺ Excited State
p.255

Phase Transformation during the Hot Pressing of WC-40vol.% Al₂O₃ Composites
p.260

3D Numerical Simulation of Compressible Gas Synthetic Jet
p.266

The Way of Obtain C₅H₈O⁺ Fragments Based on Laser-Induced Calculation
p.271

Metallographical Image Segmentation and Compression
p.276

Parametric Study on Rectangular Sonic Crystal
p.281

Simulation and Experimental Research on Temperature Increase of Safety Gear Action of Explosive-Proof Lift
p.287

Probabilistic Fatigue Crack Growth in Compact Tension Specimens from FSWed 7075-T651 Aluminum Alloys
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FEM Simulation of the Slab Edge Rolling in Unsteady Rolling Stage
p.297

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 152-154Metallographical Image Segmentation and...

Metallographical Image Segmentation and Compression

Abstract:

The double-threshold binarization and morphological transform were applied to process the metallographical image. They could classify the grain and the grain boundary from gray metallographical image. Also, the eight-direction tracking techniques about Freeman chain encoding for metal metallographical compression had been discussed, and a grain boundary tracking algorithm was given. The experimental result shows that the proposed image processing method can segment grains and their boundaries efficiently. Freeman chain encoding can compress the stored data of metallographical image greatly. Compared with another compression method RLE, it has much higher compression effect.

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Periodical:

Applied Mechanics and Materials (Volumes 152-154)

Pages:

276-280

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.152-154.276

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Online since:

January 2012

Authors:

Qiu Dong Sun, Shun Fu Gao, Jiang Wei Huang, Wei Chen

Keywords:

Double-Threshold Binarization, Eight-Direction Tracking, Freeman Chain Encoding, Image Compression, Image Segmentation, Metallographical Image

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References

[1] R. W. K. Honeycombe, in: Steels: Microstructure & Properties (Metallurgy & materials science), edited by Edward Arnold (July 2000).

Google Scholar

[2] Zhou Jie, Wang Yin-pei, Liu Zeng-dian, Chen Jin, Sun Xiao-ming: Preliminary Investigation on Fractal Metallographs—Investigation on the Fractal Characters of Grain Size. Journal of East China University of Science and Technology, Vol. 26(2000).

Google Scholar

[3] K. R. Castleman, in: Digital Image Processing, edited by Prentice-Hall (1996).

Google Scholar

[4] Sun Qiudong: The Improvement and Extension of Boundary Tracking Algorithm—¾ Four-Direction Tracking Algorithm. Application Research of Computers, Supplement (2004), No. 7, pp.507-509.

Google Scholar

[5] Yu Degang, Tan Yuxu, in: Structure Strength of Steel—Structure and Obdurability, edited by Shanghai Science and Technology Pub, Shanghai (1983).

Google Scholar

[6] D.H. Ballard, et al, in: Computer Vision. edited by Prentice-Hall, Inc. (1982).

Google Scholar