Spatial-filtering-of-the-image

四元数类 matlab程序 包含四元数相关运算(quaternion class)

说明：  最佳接缝法纹理合成的MATLAB代码，有图像例子，有网页说明，具体算法参照文献：Image Quilting for Texture Synthesis and Transfer(Texture synthesis method the best joints of the MATLAB code, there are examples of images, there are web pages that refer to the specific algorithm literature: Image Quilting for Texture Synthesis and Transfer)

说明：  通过双通道PCNN来实现多源图像融合，算法简单易于实现(image fusion using dual channel PCNN)

对比了常见的几种去噪方法，含中值滤波，均值滤波，维纳滤波，高斯滤波，以及三种形态学滤波（一般的，改进的，多结构元素形态学滤波）(Comparison of several common Denoising containing median filtering, mean filtering, Wiener filtering, Gaussian filtering, as well as three morphological filtering (generally improved, multi-structural elements morphological filtering))

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)

matlab处理火焰视频，基于火焰亮度阈值，计算火焰高度宽度和间歇性。(Matlab processes the flame video and calculates the flame width and intermittency based on the flame brightness threshold.)

基于 halcon做的单相机+机械手图像拼接(Image stitching of single camera + manipulator based on Halcon)

说明：  基于MATLAB图像阈值分割 ，有不同的方法，如人工阈值分割，大津法阈值分割等(Based on MATLAB image threshold segmentation, there are different methods, such as artificial threshold segmentation, Otsu threshold segmentation and so on)

说明：  LRMR（低秩矩阵恢复模型）的IALM方法实现代码，用于图像去噪。(The IALM method implementation code of LRMR (Low Rank Matrix Recovery Model) is used for image denoising.)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)