auto_thresh

基于sift的图片近似拷贝检测技术算法的实现(Sift-based image copy detection technology approximation algorithm)

Matlab图像处理中的Harris角点提取算法， 代码中有详细的解说，方便阅读。 (Matlab Image Processing of Harris corner extraction algorithm, the code has a detailed explanation, easy reading.)

用SIFT算法实现了刚性和非刚性图像的配准 并且效果非常理想 SIFT的特征点的提取 描述 和匹配的算法有注释(Nonrigid Registration Using Free-Form Deformation. )

说明：  褶积模型正演模拟，非常好用，非常好用，非常好用！(Forward simulation of convolution model ,very good!)

说明：  图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

基于统计算法的红外图像非均匀性矫正算法，场景类算法，实现实时校正(IRFPA NUC)

说明：  ENVI+C#二次开发环境搭建 主机操作系统：Windows10_x64 C#编辑器：Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5(ENVI+C#secondary development environment construction operating system:Windows10_x64 IDE:Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5)

功能很全的车牌识别系统，图像与处理，车牌定位，字符分割和字符识别等(Full license plate recognition system, image processing, license plate location, character segmentation and character recognition.)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

基于halcon图像处理平台的相机标定算法，相当不错。。。。。(Halcon based image processing system camera calibration algorithm is quite good. . . )