Home > IJCCT > Vol. 5 > Iss. 2 (2014)
International Journal of Computer and Communication Technology
Abstract
The composition of the material and its processing conditions effect the microstructure of that material. Mechanical properties are inturn dependent on the material's microstructure. Thus the study of microstructure is important to asses the material processing conditions. This also helps in forensic analysis of material failure. Metallography deals with the material microstructure study. Classification of Material is the first step of the metallographic analysis. The tonal distribution of the microstructural image is completly dependent on the material and its composition. The current paper proposes a automated technique for classification of materials using image processing algorithms.
Recommended Citation
Shankar, N. V. S.; Krishna, B. Mahesh; and Sarcar, M. M. M.
(2014)
"A Novel Automated Technique for Ferrous Materials Classification,"
International Journal of Computer and Communication Technology: Vol. 5
:
Iss.
2
, Article 5.
Available at:
https://www.interscience.in/ijcct/vol5/iss2/5