xiaobobao

基于contourlet的图像融合，低频分量在融合过程中使用加权平均的融合规则(Contourlet-based image fusion, the low frequency components in the integration process using the weighted average of the fusion rules)

opencvsharp检测圆

基于MATLAB的图像处理源程序集，包括阈值、二值化、灰度变化，边缘提取等等(MATLAB based image processing source code set, including threshold, binary, gray scale, edge extraction, etc.)

实现指纹图像增强，直方图均衡化等空域增强后，在频域也进行增强。开发环境为MATLAB软件。(The realization of fingerprint image enhancement, histogram equalization, such as enhanced airspace, in the frequency domain also enhanced. Development environment for the MATLAB software.)

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)

利用SBS产生任意形状滤波器,例如矩形滤波器，高斯型滤波，超高斯滤波器等(SBS to generate arbitrary shape filter, such as a rectangular filter, Gaussian filter, super-Gaussian filter)

说明：  基于matlab的简易小波阈值去噪，小波变换基础上变换阈值实现对图像的去噪(Matlab based on the simple wavelet transform, simple image denoising)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)

matlab实现的基于高斯光流法的图像配准(matlab implementation of optical flow method based on Gaussian image registration)