A Review on Measurement of Particle Sizes by Image Processing Techniques

Abstract

This review is based on how to measure particle sizes with different image processing techniques. In addition, particle size significantly affects the material's mechanical properties. In material science, the material's structure is analyzed to understand that a material can provide specific standards, such as toughness and durability. Therefore, it is essential to make this measurement carefully and accurately. The segmentation approach, frequently used in image processing, aims to isolate objects in an image from the background. In this sense, separating particles from the background is a problem of image processing. In image processing applications, there are different approaches used in segmentation, such as histogram-based, clustering-based, region amplification, separation, and merging. In this review, a comparative analysis was examined by recent studies on particle size measurement.