Abstract
This paper presents a novel approach for edge detection and concatenation. It applies the proposed method on a set of optical microscopy images of aluminium alloy Al 99.5% (ENAW1050A) samples with different grain size values. The performance of the proposed approach is evaluated based on the intercept method and compared with the manual grain size determination method. Edge detection filters have proven inefficient in grain boundaries’ detection of the presented microscopy images. To some extent only the Canny edge-detection filter was able to compute grain boundaries of lower-resolution images adequately, while the presented method proved to be superior, especially in high-resolution images. The proposed method has proven its applicability, and it implies higher automatisation and lower processing times compared to manual optical microscopy image processing.
Highlights
The task of metallography is to determine and analyse, at a certain chemical composition, the structure and constituting components of metals and alloys
The conventional methods of grain size measurements include the use of the planimetric method for image analysis, where the recognition of grains’ boundaries is completed manually, by optical recognition on obtained microstructure pictures implemented via an examiner
This paper presents a novel approach to Optical microscopy grain size determination based on image processing
Summary
The task of metallography is to determine and analyse, at a certain chemical composition, the structure and constituting components of metals and alloys. This task is completed by analysing images of the macro- and microstructures. Utilising metallography, it is possible to detect defects in the metal material and to find the causes of these defects. In this way, it is possible to determine the most favourable microstructure for a certain production process, which, further, leads to better process control and its improvement and development. It is possible to measure the microhardness of the identified microstructure constituents by additional mechanical testing
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