In view of the possible defects resulted from the effects of various factors in the preparation of optical fiber ends

this paper develops a machine vision technology-based fiber end detection system.In the light of the structural features of the microscopic fiber end images

it fits the ellipse in them using the image processing algorithm and proposes a concentric elliptical constraint-based ellipse detection method and picks out the fitting ellipse of fiber core and cladding contour.On the basis of the parameters of the acquired fitting ellipse

it divides the fiber end into three sectors of for regional flaw detection and statistics.All the algorithms are developed and realized by using OpenCV function call in VS2010.Experiments show that this detection system can accurately measurate the quality of optical fiber ends.