frac_treeGUI

typedef int ElemType: stuct LNode{ ElemType data LNode*next }

一个较好的蚁群MATLAB程序，附地图。(In this M-file, the implemention of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the iterative playing course.)

为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验，与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。(To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median filter is introduced and applied to image denoise. Key technology in actual uses is analyzed and is implemented in Matlab platform.Compared with traditional median filter , the computer simulation results show that when used to filter image with the higher level of noise , adaptive median filter is preferable to traditional median filter.)

Trajectory Control of under water vehicles

运用插值的全矢量有限差分法求解阶跃光波导本征模式以及等效折射率 (Using the interpolation of full vector finite difference method to solve step eigen mode optical waveguide and equivalent refractive index )

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.

Computer Organization- Morris Mano with Solutions

说明：  如何在C++中使用Matlab，这份资源希望能够帮助到大家。最近看了太多关于图象处理方面的内容。前辈们都很努力啊！(How to use C++ in Matlab, the resources that we hope to be able to help. Recently read too much on the aspects of image processing. Predecessors, have worked very hard ah!)

ray-level co-occurrence matrix

hierarchical clustering in matlab