chapter-5

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

一种利用图像中直线特征的方法来标定摄像机畸变参数的方法。该方法提取图像中多组不同方向的平行直线，并对其利用非线性最小二乘方法进行优化以得到最优的畸变参数，在优化过程中，采用多步渐进的策略。该方法不需要已知三维世界坐标，易于实现。实验表明，该方法有较高的准确率。(A camera lens distortion method is proposed, which uses the straight line features. Many parallel lines of different direction were extracted, and then were used to optimize the distortion parameters by nonlinear least square. The thought of step by step was added when the optimization method working. 3D world coordination is not need to know, and the method is easy to implement. The experiment result shows its high accuracy.)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

冲击滤波模型是用用于图像边缘增强的一种常用算法(Impact filtering model is a commonly used algorithm for image edge enhancement)

批量计算气泡的面积 和绘制气泡的轨迹在同一张图片上(Calculate the area of the bubble in batch and draw the trajectory of the bubble on the same picture)

适用于Matlab的图像拼接，图形配准等(Matlab applied to the image mosaic, image registration, etc.)

利用radon变换进行图像倾斜矫正的算法代码实现(Using radon transform algorithm for image tilt correction code)

将一个图像的感兴趣区域替换到另一张图像的相同区域中(Will replace the region of interest of an image to another image of the same region of the)

通论算法，给人脸做重构处理，进一步完成人脸的样本稀疏化，还能更好的重构人脸。(The General Theory of algorithms, giving face to do reconstruction processing to complete further thinning of face samples, but also to better reconstruct the face.)

改程序就代码可以找出从不同角度或区间的两幅遥感影像的同名点(Change the program code can find it from different angles of the same name point or interval of two remote sensing images)