基于最小错误率bayes分类，matlab编写

该源代码可以直接下载下来使用，而且是地地道道的对RGB图像进行分割，我已经测试通过了。-The source code can be directly downloaded to use, but also out-and-out on the RGB image partition, I have the test passed.

Directshow中Video Mixer Render9的使用，很好的代码，具有很好的参考价值-Directshow China Video Mixer Render9 use, good code is a good reference value

很好的进行了图像轮廓和边界的分析 ，绝对正确。-Very good for the image contours and boundaries of the analysis, absolutely correct.

本代码实现了基于BMP图像进行形态学运算等算法，算法已经过调试，希望对大家有帮助-Realize this code BMP image-based computing, such as morphological algorithm have been debug, and they hope to have everyone help

用CPLD控制图像卡进行帧存逻辑的verilog程序,用Quartus II 5.0打开-with CPLD control image frame buffer cards logical verilog procedures, Quartus II 5.0 Open

利用opencv打开图片，并作一定的处理-Open the image using opencv, and deal with certain

数字识别 我初学者 希望能大家喜欢我上传得-digital identification beginners I hope everyone likes me in behind the upload

全自动CAMSHIFT算法 全自动CAMSHIFT算法 全自动CAMSHIFT算法-CAMSHIFT automatic algorithm CAMSHIFT automatic algorithm CAMSHIFT automatic algorithm

图像几何变换，图像平移，图像镜像，图像缩放-Image geometric transform, image translation, image mirroring, image scaling

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.