LBP1

VC计算机图形学原理及算法教程 VC计算机图形学入门教程(VC theory and algorithms of computer graphics computer graphics tutorial Tutorial VC)

说明：  可以读取输出浮点型、整型、复数型影像，对于遥感专业的所有影像读入输出MATLAB中有很大帮助。采用振幅离差阈值提取PS点(Can read floating-point, integer, and complex type of image, for all remote sensing professional images into the MATLAB will be very helpful)

基于小波模极大值算法来实现信号去噪，这是一维去噪程序代码。(Wavelet modulus maxima algorithm to achieve signal de-noising, which is one-dimensional de-noising procedure code.)

用mfc编程实现数字图像处理的一些简单操作，只能处理bmp格式图片。调节对比度、亮度、边缘检测等。(Mfc programming with some simple digital image processing operations, can only deal with bmp format images. Adjust contrast, brightness, edge detection.)

freeimage library,freeimage library,(Freeimage library, freeimage library,)

实现图像中细胞的提取，并计算出细胞与核仁面积之比的可视化程序(Extraction of cells in the image, and calculate the cells with nucleolar area ratio of the visualization program)

sift算法引用于图像处理的一些常用程序(a reference to the image processing algorithms sift some common procedures)

梯度倒系数实现背景抑制,提高小目标检测的信噪比(reversing Coefficients gradient background suppression, and enhance the signal-to-noise ratio target detection)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的(ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved)