fenqusuanfa

采用了小波去噪的思想，已经调试成功.内含m文件，可直接运行，用于建立主成分分析模型。( Using wavelet denoising thought, Has been successful debugging. M contains files can be directly run, Principal component analysis model for establishing.)

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)

说明：  模拟脉冲串回波信号（脉冲周期1ms），快时间匹配滤波，慢时间MTD，提取目标的距离-速度信息；(The echo signal of analog pulse train (pulse period 1ms), fast time matched filtering, slow time MTD, extracting the range velocity information of the target;)

实验证明，本方案对于帧间位移较为明显的单个平移运动刚体，特别是外部轮廓较为平滑的物体具有良好的分割与跟踪效果。(experiment proved that the program for the inter-frame displacement is quite obvious that the single translation rigid movement, particularly smooth external contours of objects more good segmentation and tracking results.)

说明：  小波变换，主要功能是实现图像纹理的提取。(Wavelet transform, the main function is to achieve the extraction of image texture.)

全变分自适应去噪模型张红英matlab平台，(Full variable adaptive denoising model Zhang Hongying matlab)

采用 MATLAB 开发环 境，提出了一种图像信息隐藏算法，实现了图像信息隐藏的两大基本功能，即信息的嵌入和信息的提取．同 时，模拟常见的攻击方法，验证了添加隐藏信息后的图像的抗攻击能力(Using MATLAB to develop the environment, an image information hiding algorithm is proposed, which realizes two basic functions of image information hiding, i.e. information embedding and information extraction. At the same time, common attack methods are simulated to verify the anti-attack capability of the image added with hidden informati)

最为经典的ROA和ROEWA算子，用于SAR图像边缘检测，并附有一定的实例图像，以说明实验结果。(ROA and ROEWA algorithms are given in order to detect the edge of images, and some images are attached illustrating the experimental results.)

织物疵点检测，输入一副织物图片，先除去图片上的噪声，在经过形态学操作，检测出织物上的疵点(Fabric defect detection, enter a pair of fabric pictures, first remove the noise the picture, after morphological operations, detect defects on the fabric)

说明：  利用直方图均衡可以将对对比图进行调整，增强局部的对比度，特别在图像有用对比度相当接近的情况，直方图均衡可以很好的增强对比度使得图像的细节更清晰，达到图像增强的目的。(Histogram equalization can be used to adjust the contrast graph to enhance the contrast of the local image, especially in the case that the useful contrast of the image is quite close. The histogram equalization can improve the contrast degree so that the details of the image are clearer and the purpose of image enhancement is achieved.)