纹理特征提取

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：  数字图像处理仿真常用的标准图像库USC-SIPI图像数据库。(USC-SIPI image database is a standard image database commonly used in digital image processing and simulation.)

BBO I类匹配角计算 通过修改相应的参数可以计算其他负单轴晶体的I类匹配角(BBO Class I match angle calculated by modifying the parameters can be calculated other negative uniaxial crystals Class I match angle)

利用小波包分解对一个二维含躁图像进行去噪处理(Using Wavelet Packet Decomposition to Denoise a Two-Dimensional Fidgety Image)

基于DCT变换的彩色图像压缩；本程序的压缩率高，可达16+，图像恢复出来的效果较好(Color image compression based on DCT transform)

说明：  布谷鸟搜索（Cuckoo Search，缩写 CS），也叫杜鹃搜索，是由剑桥大学杨新社（音译自：Xin-She Yang）教授和S.戴布（S.Deb）于2009年提出的一种新兴启发算法。(Cuckoo search, also known as cuckoo search, is a new heuristic algorithm proposed by Professor Xin She Yang of Cambridge University and S. DEB in 2009.)

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)

基于mind相似性度量的图像配准，配准精度很高。效果不错。(Mind based on similarity measure of image registration, the registration precision is high. The result is right.)

这些是我看过的一下关于三维成像的很不错的文章，有机载前视三维成像，还有用于大视场红外扫描的三维成像的文章，都很不错(These are some article about 3D imaging I have seen. Some is about SAR forword-looking，and some is about laser real-time 3D imaging。)

用WENO,ENO等高分辨方法结合LEVELSET做图像处理(With WENO, ENO methods, such as high-resolution image processing done LEVELSET)