Automatic quantitative analysis of microstructure of ductile cast iron using digital image processing

Ductile cast iron is preferred as nodular iron or spheroidal graphite iron. Ductile cast iron contains graphite in form of discrete nodules and matrix of ferrite and perlite. In order to determine the mechanical properties, one needs to determine volume of phases in matrix and nodularity in the microstructure of metal sample. Manual methods available for this, are time consuming and accuracy depends on expertize. The paper proposes a novel method for automatic quantitative analysis of microstructure of Ferritic Pearlitic Ductile Iron which calculates volume of phases and nodularity of that sample. This gives results within a very short time (approximately 5 sec) with 98% accuracy for volume phases of matrices and 90% of accuracy for nodule detection and analysis which are in the range of standard specified for SG 500/7 and validated by metallurgist

Estimation of spectral response of a consumer grade digital still camera and its application for temperature measurement

703-707Consumer grade digital still camera has been used for image acquisition of various heat sources and the spectral response of camera has been obtained. Different sources are used to cover the bandwidth ranging from IR to UV. From the results, it has been observed that the response of the digital camera used to capture source images is adequate to cover visible range (400-700 nm). The images of various visible known heat sources are captured using the mentioned camera. From the captured images, various zones of the source are identified using image-processing algorithms. The actual temperature is measured by placing a miniature k type thermocouple in each zone. The measured temperature values are correlated with the respective colours and features computed from the images. The colour temperature correlation is established by applying various analytical techniques. Calibration of the image-based measurement with contact measurement using an established sensor is performed. </b

Automatic quantitative analysis of microstructure of ductile cast iron using digital image processing

Ductile cast iron is preferred as nodular iron or spheroidal graphite iron. Ductile cast iron contains graphite in form of discrete nodules and matrix of ferrite and perlite. In order to determine the mechanical properties, one needs to determine volume of phases in matrix and nodularity in the microstructure of metal sample. Manual methods available for this, are time consuming and accuracy depends on expertize. The paper proposes a novel method for automatic quantitative analysis of microstructure of Ferritic Pearlitic Ductile Iron which calculates volume of phases and nodularity of that sample. This gives results within a very short time (approximately 5 sec) with 98% accuracy for volume phases of matrices and 90% of accuracy for nodule detection and analysis which are in the range of standard specified for SG 500/7 and validated by metallurgist