不同图像场景匹配的模式识别技术

1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes Pub Date : 1979-12-01 DOI:10.1109/CDC.1979.270051

J. Boland, H. Ranganath, W. Malcolm

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引用次数: 2

摘要

本文研究了利用场景匹配技术实现红外成像导引头的瞄准线与精确指向跟踪系统的瞄准线的精确对准问题。提出了几种预处理算法，将两种不同的视频信号转换成兼容的格式。两幅图像的不同是由于成像传感器的空间和光谱响应不同造成的。提出了几种阈值处理技术，用于将8位预处理视频转换为两级输入二值相关算法。工作的重点是确定最佳权衡，以获得实时相关算法，但又准确可靠。实时在这个应用程序中意味着两个场景的赛点被计算(或更新)在视频的每个领域或以1/60秒的间隔。给出了一种特殊的边缘提取算法和几种阈值提取技术的仿真结果。提出了一种提高相关器(或场景匹配器)性能的新方法。

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A pattern recognition technique for scene matching of dissimilar imagery

The problem of accurately aligning the line of sight (LOS) of an infrared imaging seeker with the LOS of a precision pointing and tracking system (PTS) using scene matching techniques is considered in this paper. Several preprocessing algorithms are proposed to transform the two dissimilar video signals to a compatible format. The dissimilarity in the two images is due to the different spatial and spectral responses of the imaging sensors. Several thresholding techniques are presented for converting the eight bit preprocessed video to two levels for input to a binary correlation algorithm. The emphasis of the work was to determine the best trade-offs in order to obtain a real-time correlation algorithm but yet be accurate and reliable. Real-time in this application means that the match point of the two scenes is computed (or updated) on each field of video or at 1/60th second intervals. Simulation results using a particular edge extraction algorithm with several thresholding techniques are given. A new method for improving the correlator (or scene matcher) performance is given.

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来源期刊

1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

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