An effective burrs removing algorithm and its application in strip steel crack detection and measurement

Burrs removing is a classic problem in image processing,and is also the key point of accurate calculation of strip steel crack length.A given length threshold is needed in traditional burrs removing algorithms need,however it is not feasible for crack measurement of strip steel as both long and short cracks may exist in one image.We apply the idea of Local Binary Pattern to identify each skeleton point as nodes,ends or ordinary points.Firstly most burrs are removed according to the relationship of burrs,nodes and ends.Then the shortest branches of remaining nodes would be removed and a skeleton image without burrs is obtained.The experimental result proves that it is an effective burrs removing algorithm which can make the skeleton express the object's geometric structure accurately without fixed length threshold.