用c语言建立物理模型 本人和同学大一物理作业

1335控制的320x240图形液晶驱动程序 -1335 controlled 320x240 graphics LCD driver

对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.

对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值-Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the compressed sampled, and then reconstruct them the above-mentioned three methods to compare their results, which StOMP method is to use different thresholds

视频解码：包括反DCT变换，反量化，VLD，MC等。与国际上的MPEG4 可以一较高下。-video decoder : including anti- DCT, anti-quantified, Variable Length, such as MC. With international MPEG4 can be a higher under.

详细介绍了普通按钮的全部功能，包括文档和项目的类型。

基于概率框架的立体视觉匹配和运动估计方法-A Probabilistic Framework for Correspondence and Egomotion Estimation

利用NIVIDIA公司的GPU编程SDK CUDA进行聚类分析-Using CUDA for hierachy clustering taking advantages of Pararell programming

图象的几何变换 打开一幅位图，实现几何变换 命令行编译过程如下 vcvars32 rc bmp.rc cl geotrans.c bmp.res user32.lib gdi32.lib 注意事项： 运行时，文件c: est.bmp必须存在 -Image geometric transformation to open a bitmap, to achieve geometric transform command-line compiler as follows vcvars32 rc bmp.rc cl geotrans.c bmp.res user32.lib gdi32.lib Note: run-time, the file c: test.bmp There must be

实现播放功能,用户通过VC可以实现简单的播放功能.-The realization of playback, the user can be achieved through the VC simple playback.

Harris Corner Detection Implementation