Target Characteristic Extraction Algorithm Based on Block Structure Variables

摘要：

In image processing system, the target recognition is very crucial. An optimized algorithm based on the definition of block is presented. In this algorithm, two structure variables are self-defined to calculate the areas and centroids of targets. The labeling conflicts are resolved by tracking and correcting, which means that if there is a conflict, trace the neighbored blocks and correct the labels of them. Finally, the characteristics of blocks, which have the same label, are accumulated. This method has outstanding advantages in saving memory, compared with Pixel labeling algorithm and Run-length code algorithm. The new algorithm is simple and the results of target characteristics are easy to be analyzed and handled in the following processes.

关键词： characteristic extraction binary image block based algorithm structure variables

作者: Zhou Ying Gu Yongqiang Yan Feng Sui Yongxin Yang Huaijiang

作者单位: State Key Laboratory of Applied Optics, ChangchunInstitute of Optics, Fine Mechanics and Physics,Chi State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, C State Key Laboratory of Applied Optics, ChangchunInstitute of Optics, Fine Mechanics and Physics,Chi

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）