对各种数字图象处理使用滤波器的研究 包括边缘增强 平滑 去噪 锐化等...

用C语言编的多边形裁剪源代码-Code of Clipping Polygons using C language

vc++图像处理典型算法与实现的前半部分源代码，对搞图像处理的人参考价值！-vc++ typical image processing algorithms and implementation of the first half of the source code, for those who engage in image processing reference value!

霍夫曼压缩编码 mfc实现 实现了一个功能-Huffman coding to achieve implementation of a functional mfc

包括图像的灰度变换，laplacian锐化，中值滤波，加权中值滤波，自适应滤波，添加噪声以及图像的平滑和反色处理，图像处理效果良好-Including images of gray-scale transformation, laplacian sharpening, median filtering, the weighted median filter, adaptive filter, add noise and image smoothing and anti-color processing, image processing results

用PCNN模型实现自动波的反向传播 ************************************* Function PCNN_autowavecp(J) 参数说明：J为输入的二值图像。 功能：用PCNN模型实现自动波的反向传播 -PCNN model with automatic back-propagation wave ************************************* Function PCNN_autowavecp (J) parameters: J for the input binary image. Function: PCNN models with automatic back-propagation wave *************************************

基于mfc的轮廓提取程序，支持多种算子提取轮廓，有边缘检测，hough变换等功能。-Mfc based on the contour extraction process, supports a wide range of contour extraction operator, has edge detection, hough transform functions.

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).

Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV.

合纵大dm642 dsp的图像处理手册，讲的很详细-All vertical great dm642 dsp image processing manuals, talking in great detail

LCD driver to display font