Circular object segmentation under complicated background
复杂背景下圆形物体分割算法

How to discern circular object accurately from the complex industrial image was studied in this paper. Having illustrated the limitations of the traditional ways in image segmentation, a new method based on double-threshold segmenting in combination with mathematical morphology was put forward. First, it was to obtain two binary images from segmenting image by two thresholds. Second, erosion, opening and closing were done to the two images according to some knowledge of the shape and location of the objects in the image that we have already known. Last, the edge information from the image segmented by a high threshold was put into the image segmented by a low threshold. It is the way to segment and discern circular objects accurately from the complex image and can greatly improve the accuracy rate of discerning. The new method works well in pre-processing with complex image.