lateral-inhibition-example-matlab

Brown noise generated in Matlab

NSCT分解 图像融合 各个融合指标评价体系 他是分解(NSCT decomposition image fusion)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

gif动画制作工具，界面简洁易用，非常实用！(gif maker！)

改进的sift算法，称为surf，来实现图像的匹配，并显示。 (Improved sift algorithm, known as the surf, to achieve the image matching, and displayed.)

程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)

thin plate spline（薄板样条）模型，将已知图像通过非刚性变换得到所需要的图像，在图像配准中非常有用。(thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.)

将一幅rgb图像转换成灰度图像，并显示出灰度图像。(the functon is to make a rgb image to gray image.)

基于拓展RPC模型的多源卫星遥感影像几何处理 转化程序(RPC model-based development of multi-source remote sensing image processing conversion process geometry)

一种二维EMD算法，作者是Anna Linderhed，该学者博士研究课题为二维EMD和小波变换，她的二维EMD算法与Nenus或其他学者的算法有较大的不同。(A two-dimensional EMD algorithm, the author is Anna Linderhed, her Ph.D. research topic is bidimensional EMD and wavelet transform. Her two-dimensional EMD algorithm is quite different from that of Nenus and other scholars.)