Абстрактный

PARAMETER ESTIMATION OF METAL BLOOMS USING IMAGE PROCESSIN TECHNIQUES

Avadhoot R. Telepatil, Shrinivas A.Patil

Bloom is a mass of iron, steel, or other metal hammered or rolled into a thick bar for further work. In Industry blooms of different diameter, are manufactured on large scale and kept in bunch. These blooms can be used in future for different applications. Traditionally parameters of blooms such as bloom diameter are measured using venire calliper and number of blooms in a bunch is counted manually. In this technique most of the time manual counting leads to mismatch in the number of actual blooms and counted one. Human errors are responsible for wrong diameter measurement. The work presented in this paper deals with image processing approach to estimate bloom parameters such as bloom diameter and total number of these blooms in bunch. To estimate these parameters gradient based circular Hough transformation technique is implemented using MATLAB.