Glass Bottle Bottom Segmentation Based on Improved Snake Model

摘要

The Snake active contour model converts the image segmentation problem into solving the energy functional minimum problem, and uses curve evolution to locate the edge of the target. But the disadvantage is that it depends on the position of the initial contour. In order to improve the defect that the initial contour of the traditional Snake active model is difficult to locate when it is applied and the inaccurate extraction results when the initialization curve is far away from the target edge, follow the steps below:The initial curve is determined by the inscribed circle generated by the Hough transform algorithm in the area where the target is located; According to the different area where the point on the curve located and the point’s neighborhood characteristics, the direction of the point movement on the curve and the automatically changed Step size. The above steps can improve the defect of inaccurate extraction results when the initialization curve is far away from the target edge. The results obtained by the above method are compared with the traditional Snake model segmentation results to verify the feasibility and accuracy of the improved algorithm.