一个特征提取的简单小程序，可以输入一副真彩图得到特征矩阵...

反色：通过对图像的处理使图像各种颜色变得和原始图像颜色相反-Anti-color: image processing of the image has become a variety of colors and the original image color contrast

将图片从BMP格式转换为JPG格式-Pictures from the BMP format is converted to JPG format

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

UltraFractal出品，长于自定义公式，创建新的分形，色彩设置很有特色，特别是zoom的时候，非常平滑，非常有特色。另外软件的外观也很舒服。目前最新的版本是3.05。 -UltraFractal Chupin, longer than the custom formulas, create a new sub-shape, the color set is very unique, particularly when the zoom is very smooth, very unique. In addition the appearance of the software is also very comfortable. The most recent version is 3.05.

国外著名大学编写的利用粒子滤波器的目标跟踪算法（particle fitler visual tracking）-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)

完成图像RGB到HSV的转换，比较自定义函数转换和使用opencv提供函数直接转换的结果。可用于研究H，S，V分量的范围等-Image RGB to HSV conversion, more-defined functions and use the conversion function opencv provide direct conversion results. Can be used to study H, S, V component of the scope of

简单图形的生成，填充（比如直线、圆、拟合曲线等） 图像的处理（二值化、锐化、浮雕化、图片解压、压缩）-Simple graphics generation, filling (such as straight line, circle, curve fitting, etc.) image processing (binarization, sharpening, relief-oriented, image decompression, compression)

基于神经网络的人脸识别训练函数，非常有用，研究生优秀作品-Face recognition based on neural network training function, very useful, graduate outstanding works

：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.

数字图像 图形处理 visual c++ 开发 转制代换的源代码-digital image graphics processing visual c conversion substitution development of source code