NPCR_and_UACI.m

偏微分方程图像复原代码，其中有频域迭代盲解卷积H1模型，TV去噪模型，自己编的自适应去噪模型，以及改进的自适应去噪模型，令附卫星图片，PSNR代码(Image restoration code of partial differential equations, including iterative frequency-domain blind deconvolution H1 model, TV denoising model, made themselves adaptive denoising model, and improved adaptive denoising model, so attached to satellite images, PSNR code)

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

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

评价描述子的好坏，能给出重叠率、正确率和查错率等(Evaluation of descriptors)

一个计算多边形面积和周长的程序, 同时可以把多边形显示出来, 直观展现多边形形状.(A polygon area and perimeter calculation procedures, the polygons can be displayed simultaneously, intuitive show polygonal shape.)

ostu算法（最大类间房差法，类属于阈值分割）的maltab代码，用于计算机图像处理分割及其相关应用。(ostu algorithm (the largest difference room category, type of threshold segmentation is) the maltab code, used in computer image processing and related partition application.)

使用matlab对图像进行处理实现鱼眼校正，效果良好(Use matlab image processing fish-eye correction, and to good effect)

使用IDL实现对ENVI所支持的影像文件格式的数据拼接，不用打开栅格，从而避免内存消耗过大(IDL data stitching ENVI image file formats supported, do not open the grid, in order to avoid memory consumption is too large)

any help to perform DCT IDCT walsh inverse walsh on image

说明：  根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)