毫米波S-V信道模型实现(UPAchannel_realization.m)

【实例简介】

【实例简介】MSP430编程

【实例简介】

【实例简介】以单关节机械手为例，实现阻抗控制

基于KRAKEN理论的匹配场定位程序

【实例简介】计算光学、大气传播等MATLAB案例

可变遗忘因子RLS

实时显示质点弹道

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

 1.编程实现对图像lena.bmp叠加均值为0，方差为0.02的高斯噪声，分别用邻域平均法和中值滤波法（窗口尺寸为3×3、5×5、15×15、35×35）对该图像进行滤波，显示叠加噪声前后的图像及滤波后的图像。 2. 编程实现对图像lena.bmp叠加椒盐噪声，选择合适的滤波器将噪声去除； 3. 编程实现频率域的理想低通滤波平滑：加噪，改变截止频率，观察效果。