红外技术2017，Vol.39Issue(6)：500-504,5.
基于DSP/BIOS图像处理的弱小目标检测
Detection of Weak and Small Targets Based on DSP/BIOS Image Processing
摘要
Abstract
The application and development of image processing methods that are based on the digital signal processing platform aregenerally complex processes;theseare also not feasible for the detection of weak and small targets in a complex background. In order to improve the efficiency and stability of a detection program, a method for the detection of weak and small targets based on DSP/BIOS image processing was proposed. In this method, the high performance of the digital media processor DM642 was considered to be the core, and the DSP/BIOS kernel and dynamic call API function were the auxiliary modules.Weak and small targets were detected in an industrial scenario where magnesium melt was used as the carrier in a complex background;the estimated target was determined by observing the output signal of the digital I/O. The results of 400 experiments under different conditions showed that detection rate was 90.59%, which is 11.04% higher than thatof a single thread DSP detection algorithm; moreover, the efficiency and stability of the detection program also improved.关键词
图像处理/弱小目标检测/DSP/BIOS/DM642Key words
image processing/weak and small target detection/DSP/BIOS/DM642分类
信息技术与安全科学引用本文复制引用
王忍宝,许四祥,李天甲,翟健健..基于DSP/BIOS图像处理的弱小目标检测[J].红外技术,2017,39(6):500-504,5.基金项目
国家自然科学基金资助项目(51374007) （51374007）
安徽省自然科学基金资助项目(11040606M104) （11040606M104）
研究生创新基金资助项目(2015033) （2015033）
国家级大学生创新训练资助项目(201510360033). （201510360033）
