Abstract:In order to solve the problem of recognition accuracy of accumulated aggregate particles, a method of image analysis was proposed, using a flatbed scanner. The method included an image segmentation method based on gray morphological reconstruction and an image optimization technique using minimum convex polygons for aggregate boundary fitting. According to the image analysis of the characteristic parameters of aggregate particle group, the minimum number of particles was calculated to be 720 in the image analysis. The results show that the method of image analysis based on gray morphological reconstruction can solve the problem of aggregate particle conglutination, and calculate the characteristic parameters of aggregate particle group such as gradation, elongation, roundness, sphericity, angularity, specific surface area and percentage of elongated particles.