Automatic Quality control is a vital process in many manufacturing process such as steel industry. Pellet size monitoring and control is a critical process which is done in steel making to improve quality of products. According to the technical reports, pellet size should be fall in the range of 9-16 mm in diameter. Larger or smaller pellets could degrade the final products and impose extra overheads to industry. In this paper, a new method is proposed for measuring the pellet size using practical Image Processing algorithms. In this method, active contour with Chen-Vese method is used to eliminate the images backgrounds and achieving a distinguishable plot of the objects. After detecting distinct element existing in the image, the number of pellets in each object is determined and each object is justify; LINE-HEIGHT: 115%; MARGIN: 0cm 0cm 10pt; unicode-bidi: embed; DIRECTION: ltr" Kaywords: SVM, Chan-Vese, Pellet, Morphology
