zhifangtu

遥感摄影测量专业相邻相片同名点之间的匹配，交互界面，可以人工选点(Remote Sensing Photogrammetry Professional adjacent matching interface point between the photo of the same name, you can manually choose the point)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

能实现VFW编程，调用本地视频设备，实现视频捕捉和RGB-YUV颜色空间转换。 (To achieve VFW programming, call the local video equipment, the implementation of video capture and RGB-YUV color space conversion.)

对输入的图像帧感兴趣区域进行逆透视投影变换，得到俯视图。(The input of the image frame of interest in the area of the inverse perspective projection transform, get a top view. InversePerspectiveMapping)

Camshift算法，即"Continuously Adaptive Mean-Shift"算法，是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)

这是一个从两个以知的参考视点的彩色图和深度图来合成一个虚拟视点的彩色图和深度图的程序。(This is one of the two known reference to the viewpoint of the color and depth charts to synthesize a virtual viewpoint of color and depth charts of the program.)

：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

说明：   vc代码,用于图像直方图均衡（以原始girl图像为测试图像） (vc code, for image histogram equalization (in the original girl image for the test images))

说明：  采用积分图算法的归一化互相关匹配，大大减少了计算时间。(Normalized cross correlation matching)