digital-image-homework.doc

使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。(Using the Harris corner detection method to extract the feature points of the image, the NCC description method performs rough matching, and then uses the RANSAC algorithm for fine matching)

基于matlab的、结合深度图像的图像修补( Image patch based on matlab, combined with the depth of the image )

实现了20000*20000以上的大tiff格式遥感图像的读写和显示，用于遥感图像处理(Achieve a 20,000* 20,000 or more large remote sensing image tiff format to read and write and display for remote sensing image processing)

说明：  ：建立了碳钢渗硫表面和非渗硫表面的多球凸峰面接触模型，模型中，凸峰高度按高斯函数分布．用塑性流线 理论分析了渗硫层的摩擦系数．计算结果表明：摩擦系数随载荷的增加而增加；相同粗糙度下，磨削加工的摩擦系 数比车削加工的摩擦系数大；摩擦系数随着渗层厚度的增大而增大．从减小摩擦系数的角度来考虑，渗硫层并非 越厚越好． (the multi-asperity sphere-shape model for surface contact between sulphurized layer and unsulphurized layer is established．in which the height of sphere-shape asperities follows the Gaussian distribution．1he frictional coeficients of sulphurized layers are analyzed by using plastic flown line theory．1he results show that the frictional coeficient increases with the load．the frictional coeficient of ground surface is higher than that of tumed surface in case of the same roughness．1he thicker the sulphuri[ed layer is．the higher the frictional coeficient is．From the viewpoint of reducing frictional coeficient，the thickness of sulphurized layer should be smaller．)

基于OPENCV的数字图像处理的Cvvimage库，(CvvImage Class in image process )

考虑了角加速度的飞机isar成像，进行转台模拟。(Consider the angular acceleration of the aircraft, isar imaging turntable simulation.)

图像增强图像增强 对比度增强 视觉增强对比度增强 视觉增强(image Enhanceme)

很好的文章海杂波的文章，是关于海杂波的建模 分析的(Very good article article of sea clutter is modeled on the analysis of sea clutter)

视觉注意力模型，寻找感兴趣区域，模仿人眼找出最感兴趣的区域，再找出第二感兴趣的区域，以此类推(Visual attention model to find the region of interest, to imitate the human eye to identify the most interesting region, and then find the second region of interest, and so on)

图像从背景图中提取 可以用来提取边缘，将背景图与图像分离(Images extracted from the background image can be used to extract the edge of the background map and image separation)