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飞机的设计和制造一直是与性能优异的材料 联系在一起。20世纪60年代中期以碳纤维为增强体 的复合材料问世，70年代初开始应用于军用飞机 结构，80年代开始应用于民用飞机结构。复合材料 具有比强度高和比刚度高的独特优点，飞机结构 采用复合材料，其重量可相应减少20%~30%[1]。此 外，复合材料还具有可设计性强、疲劳性能好、耐 腐蚀、易于大面积整体成型、维护性好等优点。目 前，复合材料已经成为重要的飞机结构材料。(he design and manufacture of aircraft has been a material with excellent performance Relate. In the mid 1960s, carbon fibers were used as reinforcements The composite material came out and was used in military aircraft in the early 70s The structure began to be applied to civil aircraft structures in 80s. Compound material The aircraft structure has the unique advantages of high specific strength and high specific stiffness The weight of the composites can be reduced by 20%~30%[1] accordingly. this Besides, the composite material has the advantages of good design, good fatigue performance and good resistance to fatigue Corrosion, easy to form a large area, good maintainability and so on. order Before, composite materials have become important aircraft structural materials.)

相机的单目标定，使用张正友标定法，可靠使用(The monocular camera calibration, using the zhangzhengyou calibration method, reliable use)

说明：  对图像畸变进行校正,对有些图像由于近小远大照成的畸变进行校正，采用了opencv(To correct image distortion , It s important to the machine vision)

利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)

图像纹理提取gabor小波提取特征一幅输入的图形进行特征提取基于gabor小波变换(image texture extraction of edge detection)

很好的图像分割软件，内有全部源码，对研究matlab图像识别处理很有帮助(good image segmentation software, comprising all the source code, the study Matlab image recognition processing helpful)

Detecting ellipses on a camera source with Hough transform

说明：  模式识别-贝叶斯最小错误率判别一幅图像是属于人，还是属于背景。图像经过预处理。(pattern recognition- Bayesian smallest error rate discriminant image is a person, or belong to the background. After pretreatment images.)

在计算鬼成像当中，用于生成计算散斑，有了计算散斑 可以做仿真或者其他用途(In the calculation of ghost imaging were used to calculate the generating speckle, speckle can do with computing simulation or other purposes)

雷达信号处理基础教程，对雷达信号基础处理技术提供了简洁、统一、现代的表述，包括信号模型、匹配滤波、脉冲压缩、多普勒处理，阈值检测等。(Fundamentals of Radar Signal Processing)