An automatic registration method for matching the images translated and rotated has been put forward and applied to radiographic image registration with satisfactory results.
提出用图像配准方法对发生旋转和平移的两幅图像进行自动配准，该方法已用于射线图像配准，并取得了满意的效果。
After analyzing the automatic fingerprint recognition based on structural features, we improved it and put forward a step by step structural matching method. The recognition is grouped two step.
分析了基于结构匹配的指纹自动识别方法，并对其作出了改进，提出了一种分阶段的结构匹配识别方法，把识别分为两步进行。
Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.
在上述改进的角点检测算法基础上，本文提出了结合区域匹配的图像自动配准算法。
A new matching method based on two-image space intersection was developed, aiming to the fast automatic matching of artificial target points in digital close range photogrammetry.
针对数字近景摄影测量中的人工标志点快速自动匹配问题，提出了一种基于双片空间前方交会的匹配算法。
The second method is pattern matching algorithm based on the patterns of dictionary definition, we form some extraction rules by hands, the system then automatic extract synonyms by pattern matching.
第二部分是利用词汇定义模式，对词汇的释义方式进行分析，归纳总结出在词典释义中同义词出现的模式，进而利用模式匹配方法获取同义词。
The automatic wiring method was designed by integrating wiring distance, logical relation, type matching, etc. and using logical sequence of generated virtual instrument software.
通过有机地整合连线距离、逻辑关系、类型匹配等诸多因素，并利用生成虚拟仪器软件的逻辑顺序设计了自动连线方法。
The method is significant to automatic identifying and tracking ultrasonic power supply, and dynamic matching piezoelectric transducer resonant frequency.
该方法对超声波电源实现自动识别、跟踪以及动态匹配压电换能器谐振频率等具有非常重要的参考作用。
In order to realize fast automatic registration among multimodal images, an image registration method using both corners and area-based matching is presented in thesis.
为了实现多模态图像间的快速自动配准，本文提出了基于角点检测结合区域匹配的图像自动配准算法。
The new method can be used to incorporate various types of production and measured data from reservoirs and perform automatic history matching.
同时还便于充分利用更多的生产、测试资料，可实现数值模拟自动历史拟合。
The whole automatic recognition method is proved to be very fast, accurate, feasible and effective. (2) Change detection algorithm based on image matching is used to analyze the harbor damage.
基于军事应用的要求，不仅要准确检测和识别出港口目标，还要能够分析港口在毁伤打击后的变化情况。
The whole automatic recognition method is proved to be very fast, accurate, feasible and effective. (2) Change detection algorithm based on image matching is used to analyze the harbor damage.
基于军事应用的要求，不仅要准确检测和识别出港口目标，还要能够分析港口在毁伤打击后的变化情况。
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