adaptive

立体匹配sad算法，matlab基于SAD法对左右两幅图片进行匹配，并生成深度图像。.m文件。(Stereo matching sad algorithm)

说明：  python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)

Image feature extraccting using sift

RANSAC算法实现数据拟合，用此算法可以实现多视角图像匹配等(RANSAC algorithm for data fitting, using this algorithm can realize multi-angle image matching, etc.)

说明：  文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

主要介绍关于图像匹配的相应matlab程序设计(Focuses on the appropriate image matching matlab program )

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.)

There is a BCB program for digital image to establish ground truth image which test the original image.

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)

图像处理，通过matlab程序实现视频插帧的功能(Image processing and video frame insertion through MATLAB program)