C prepared by image

对图象进行均值滤波的程序,选取一幅图象,加入噪声,对图象均值滤波,输出图象.-Means of image filtering process, select an image, adding noise, the mean of image filtering, the output image.

这个源代码实现的功能是对于图像的处理：对比度的拉伸，可以运行-achieve the source code for the functions of image processing : the tensile contrast, can run

C++和MALTAB的交互编程 C++和MALTAB的交互编程-C++ And MALTAB interactive programming C++ And interactive programming MALTAB

图象处理软件 不是很流畅 不怎么好用，有些功能也不全-VISUAL BASIC

这是一本关于图像分割方面的书，对搞这方面的研究人员很有帮助-This is a book about image segmentation in the book are engaged in research in this area very helpful

彩色图像做差运算，并分RGB 以及亮度进行直方图统计，计算得到二阶导数为零的点，完全自主创作，效果理想-color image so poor operation and the hours for RGB and luminance histogram statistics, calculated second-order derivative of the zero point, entirely independent creation, the result is satisfactory

：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.

该VC程序事用来实现数字图像的抖动，利用BAYER表来对图像进行二值显示-The VC process things used to realize digital image of the jitter, the use of BAYER table to show the binary images

MFC实现多边形剪裁和填充-MFC polygon clipping and filling

基于DSP_ARM的图像增强技术，一片不错的文章，给大家参考-DSP_ARM-based image enhancement technology, a good article for your reference