A fast object segmentation approach based on integral image in ALV system

In ALV system, the object segmentation approach is one of the most important research fields for object detection. In this paper, a simple and fast object segmentation approach is proposed for ALV system. Firstly, a binarizaton method based on integral image is applied to binarize the input images; Secondly, in order to save the computation time of gray mean of each pixels in squared window, a method of reduce the redundant computation is applied in our algorithm; After that, the “holes” in object are filled by inner-filling algorithm; Lastly, the filled images are segmented by using easy edge detection approach. Several experiment images of ALV system is used to verify the proposed algorithm, the result indicate that the approach is valid and feasible.