On metallographic image analysis


1. In metallography, automatic image analysis usually refers to the digital quantitative evaluation of microstructure images.


The quantitative measurement mainly uses the representative length, width, area and factors used to evaluate the phase characteristics of the material (such as grain size, impurities, layer and stage or other components).


Image digitization can process a large amount of data and provide the basis for correct statistics.


2. Software automation


Software automation can eliminate the time consumed by manual identification, calculation or comparison. This can facilitate research in two ways:


Advanced general software&mdash& Mdash; It is usually used by experts and can perform a variety of analyses


Relatively simple and single function software&mdash& Mdash; Optimized for performing one or more standardized analyses


3. How to perform automatic image analysis


In order to use automatic image analysis to measure the structural features at the micro level, six main process steps need to be carried out, and the relevant current standards should be met


Sample selection: select a representative sample with relevant information


Sample preparation: ensure that the prepared surface is free of defects, otherwise it will interfere with the automatic image analysis system.


Image lighting and filtering: enhance contrast and ensure correct focus


Image Digitization: collect real-time analog images and convert them into digital images


Image processing: eliminate interference information, that is, use software filters to improve image quality, such as enhancing contrast


Image measurement (quantification, calculation and results): output from the complete analysis process