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中文摘要：
以数字信号处理（Digital Signal Processing，DsP）平台实现图像处理的应用开发一般较复杂，不利于复杂背景下弱小目标的检测。为提高检测程序执行的高效性和稳定性，提出了基于DSP／BIOS图像处理的弱小目标检测方法。该方法以高性能数字媒体处理器DM642为核心，以DSP／BIOS内核和动态调用API函数为辅助，以工业现场复杂镁熔液中弱小目标检测为载体，并通过数字I／O口的输出信号来判断检测的目标。经过不同条件下400次实验结果表明，综合检测率高达90．5％，与单线程DSP检测算法相比，检测率提高了11．04％，检测程序的执行效率和稳定性都得到提高。
英文摘要：
The application and development of image processing methods that are based on the digital signal processing platform are generally complex processes; these are 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 cartier 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 that of a single thread DSP detection algorithm; moreover, the efficiency and stability of the detection program also improved.
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