用VC++写的帧动画程序，希望对大家有所帮助

新编的角点检测程序，增加了健壮性！适合多用途的角点检测应用！-Reflected in the new corner detection process, an increase of robustness! Corner detection for multi-purpose applications!

这个Matlab程序用于颜色空间的转换。可以在RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH)等颜色空间中任意转换。.rar-The Matlab program used for color space conversion. In RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH) such as color space conversion arbitrary. . rar

Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。-Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.

vc++图像处理典型算法与实现的后半部分源代码，对搞图像处理的人参考价值！-vc++ typical image processing algorithm and the realization of the latter part of the source code, for those who engage in image processing reference value!

图像处理源代码,包括所有的图像处理源代码-imageprocessing

Goodfectertotreck的实现-Goodfectertotreck opencv

C常用算法 对于初学者，可以参考学习，能够很快入门并掌握一些基础算法-C commonly used method for beginners, you can refer to learn, will soon be started and learn some basic algorithms

matlab中实现阈值去噪的源程序，简单实用-achieve matlab source threshold denoising

：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.

高斯随机噪音程序，做理论模型数据时，一般会加高斯随机噪音，以模拟实际数据-Gaussian random noise process, make the theoretical model data, they generally will be Gaussian random noise to simulate the actual data