advancedcvmodel

说明：  MIT的人脸数据库，包括人脸和非人练部分。(face database from MIT)

图像处理中经常需要检测圆形状的物体，该程序用霍夫变换可以检测圆的圆心和半径。(Image processing often requires detection of a round-shaped objects, the program can detect the use of Hough transform and radius of the center circle.)

完成了对车道线进行了识别，主要流程为灰度化，边缘检测，hough变换。(We completed the lane line identification, the main process of graying, edge detection, hough transform.)

使用snake算法寻找图形的轮廓，GVF梯度代替传统方法取得了很好的效果。(Snake algorithm to find the outline of the graphics， GVF gradient instead of the traditional methods achieved good results.)

北航图像处理demo，目前集成了从色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、数学形态学方法、等多个组件(Northern image processing demo, now integrated from the color conversion, color image processing, gray-scale image processing, binary image processing, thresholding, edge detection, mathematical morphology, and many other components)

用SVD算法实现图像滤波去噪处理，提高图像的信噪比。(SVD algorithm using image processing filter to improve image quality.)

基于序贯蒙特卡罗方法的人体跟踪程序，对于学习蒙特卡罗粒子滤波器的人有重要参考价值。(Sequential Monte Carlo method based on human tracking procedures, Monte Carlo particle filter for learning a person has an important reference value.)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

标准Hough检测圆，在数字图像中检测圆形目标，需要先边缘提取，在二值图像中检测圆。(circle detection using standard hough transform )

说明：  对图像提取同名点，并根据同名点建立delaunay三角网，后续可进行图像配准，或根据三角网进行控制点筛选(The same name points are extracted from the image, and the Delaunay triangulation network is established according to the same name points. The image registration can be carried out later, or the control points can be selected according to the triangulation network)