A Fast Object Segmentation Approach Based on Integral Image in ALV System

摘要：

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.

作者: Shenyi Qian Xiaolei Chen Yongquan Xia

作者单位: dept.of computer science & engineer Zhengzhou University of Light Industry Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 357-360

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）