In order to verify the target imaging treatment algorithms for the photoelectric images, and compare the advantages and disadvantages between different algorithms, the target imaging treatment algorithms verification platform is designed and implemented. This platform designed by VC + + 6.0 can improve,verify.debug and modify classic algorithms and the new algorithms easily. First, the source video processing module provides the video images with the customizable brightness, contrast and noise for the target tracking algorithms that will be verified. Secondly,the algorithm preprocessing and target segmentation modules can do image transformation such as noise-removal. image enhancement, edge detection to improve the quality of the poor image, and extract useful information from the poor image for target tracking algorithms that will be verified. The design the interface between modules is more implantable. Based on this algorithm verification platform, the target image processing algorithms can be easily developed on it without hardware support.%为了验证基于光电图像的目标成像处理算法,并对不同算法之间的优缺点进行比较,设计并实现了操作简单、移植性强的目标成像处理算法验证平台.基于VC++6.0进行模块化设计,方便了经典算法的改进和新算法的植入,并且易于验证、调试与修改.视频源处理模块为待验证的目标跟踪算法提供可自定义亮度、对比度、噪声等的场景.同时,算法中预处理、目标分割等模块可将质量较差的图像进行去噪、增强、边缘提取等变换,易于跟踪算法对有用信息的提取.设计模块之间的接口,使平台具有更强的可植入性,方便目标跟踪算法的开发.
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