首页> 美国政府科技报告 >Practical Algorithms for Image Component Labeling on SIMD Mesh Connected Computers
【24h】

Practical Algorithms for Image Component Labeling on SIMD Mesh Connected Computers

机译:sImD网状连接计算机图像分量标注的实用算法

获取原文

摘要

Two new parallel algorithms are presented for the problem of labeling the connected components of a binary image, which is also known as the connected ones problem. The machine model is an SIMD two-dimensional mesh connected computer consisting of an N x N array of processing elements, each containing a single pixel of an N x N image. Both new algorithms use a shrinking operation defined by Levialdi and have time complexities of O(N log N) bit operations, which makes them the fastest local algorithms for the problem. Compared with other approaches having similar or better time complexities, this local approach dramatically simplifies the algorithms and reduces the constants of proportionality by nearly two orders of magnitude, thus making them the first practical algorithms for the problem. The two algorithms differ in the amount of memory required per processing element; the first uses O(N) bits while the second employs a novel compression scheme to reduce the requirement to O(log N) bits. (RRH)

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号