svt

说明：  KM算法，通过对图片的像素点特征分类，实现图片杂质检测等功能(KM algorithm, through the image of the pixel classification to achieve image impurity detection and other functions)

将颜色图像的色彩迁移到灰度图像中，采用的算法为welsh算法，有较好的效果；该程序是在VC++6.0的环境下调试实现的，能将颜色图像的颜色较好的迁移到灰度图像中.(Migration of the color image to gray image in color, using the algorithm for the welsh algorithm, better results the program in VC++6.0 environment debugging to achieve, can color the better the color of the image transfer to the gray image.)

指纹图像处理，细化，锐化，二值化，特征点的提取。(Fingerprint image processing, refining, sharpening, binarization, feature point extraction.)

说明：  一种很好的基于改进的椭圆检测算法值得一看要(A good improvement on the ellipse detection algorithm to see)

查找图像的局部极大值，功能强大，速度快，精度高(Finding the local maximum of an image is powerful, fast and accurate.)

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.)

说明：  matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)

程序功能是把一副倾斜的文字图像矫正过来，通过边缘检测再进行霍夫变换完成(The program function is to correct a skewed text image.)

DPC算法的经典实现过程，包含元数据集、决策图以及2维条线下密度聚类(The classical implementation process of DPC algorithm includes metadata set, decision diagram and 2 dimensional lower density clustering)

说明：  Z. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018.