using Visual Basic 6.0 to prepare a summary of the Icon icon editor.

用VC做的运动检测系统，采用模板匹配的思想比较不同的图像，查看事物是否运动。-VC to do with the motion detection system that uses template matching to compare different images of the idea to see whether the movement of things.

中科院自动化研究所关于图像边缘检测的课件，介绍了几种主要方法以及粒子滤波的介绍，希望对大家有帮助-Chinese Academy of Sciences Institute of Automation on the edge detection of the courseware, introduced several major methods and particle filter introduction.

实现两幅图像简单的拼接，对图像拼接还好，实时拼接效果一般。-Two images to achieve a simple stitching, image stitching Fortunately, real-time splicing results in general.

将TV信号转换到VGA信号，通过FPGA的转换可以直接在显示器上显示。-TV signals will switch to VGA signal, through the FPGA conversion can be directly displayed on the monitor.

实现图形填充，算法为内部表示区域种子填充算法-Fill the realization of graphics, algorithms for internal representation of regional seed fill algorithm

采用自适应窗口算法对左右两幅视图进行匹配，得到较为正确的视差图，避免了固定窗口算法产生的边缘不准确问题 -Adaptive window algorithm to match the view on the left 2 get more accurate disparity map, avoiding the edge of the fixed window method produces problems of inaccuracy

用C++实现的OTSU大津阈值分割方法，使用的是图像的全局阈值-With C++ Realize the OTSU Otsu threshold segmentation method, using images of the overall threshold

SUSAN算法源码及其论文资料，包括了源程序和论文，很齐全-SUSAN algorithm and its paper-source information, including the source code and papers, it is complete

直方图规定化 规定灰度为[zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.3,zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.1] 直方图均衡化，四邻域平均法，阈值平均法 加权平均法- Gray histogram specification provides for the [zeros (1,49), 0.1, zeros (1,49), 0.2, zeros (1,49), 0.3, zeros (1,49), 0.1, zeros (1, 49), 0.2, zeros (1,49), 0.1] histogram equalization, neighbors and domain average method, the threshold average method weighted average method

Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively).