Real-time Image Processing System Base on Multi-core Processor

被引：4

作者：

Zhao, Jie ^{[1
]}

Yang, Yong-min ^{[1
]}

Li, Ge ^{[1
]}

机构：

[1] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150080, Heilongjiang, Peoples R China

来源：

2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 1, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/IITA.2009.177

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposed a real-time image processing system based on multi-core processor, which is used in the cold rolling surface defect inspection system for enhancing system's real-time performance. Based on analyzing the application demand of inspection system image processing module, the image processing system is designed that is the combination of RT-Linux real-time operation system and multi-core processor hardware platform. Taking advantage of RT-Linux multi-task scheduling mechanism based on priority, the PCI device driver is developmented to ensure receiving and saving image data in real-time. At the same time, multi-core processor makes multi-task parallel processing to be possible. Two parallelism types are analyzed, including task-level parallelism and data-level parallelism. Finally the combination of thread-level and data-level parallelism of image segmentation based on Ostu method is implemented, verifying performance of real-time image processing system based on multi-core processor. Segmentation algorithm can efficiently utilize the multi-core processor, 3.2 times faster than a single core.

引用

页码：329 / 332

页数：4

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