Phase Determination in Low Carbon Steel Metallographic Image Using Wavelet Transform

Abstract

A filtering technique for processing the noisy metallographic images of low carbon steel acquired by CCD camera has been presented in this paper. To enhance the image which makes extraction of the phase information easier, histogram equalization followed by wavelet filtering and thresholding has been implemented. Percentage volume of ferrite in the structure was determined by analyzing the processed image. Results are in good agreement with that obtained from spectro-photo meter.  Average variation in result obtained from processed metallographic image and spectro-photo meter is less than 1%.