duoguangputuxiangpeizhun

用OSTU和KSW实现多阈值图像分割，matlab代码(Image Segmentation Using OSTU and KSW)

展示了汽车行业的应用案例。任务是利用标定的可变形匹配来定位不同方向和位置的车门(3D variable model matching)

根据论文Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support算法写的角点检测(err)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)

基于matlab的图像分解重构的源码，基于matlab的图像分解重构的源码。。。(The reconstruction of the image decomposition based on matlab source code, the reconstruction of the image decomposition based on the matlab source code..)

这是图像拼接大神的在ICCVC上的PPT报告，思路清晰，受益匪浅，(PPT report in God s image stitching on ICCVC and clear thinking, benefit,)

才用CDD对灰度或者彩色图像进行修复的一种方法(Only with the CDD on the grayscale or color image restoration method)

十字路口车道线提取算法。c++开发。特别针对十字路口电子警察系统开发。(road line fetch)

图像处理中图像几何畸变校正程序，用于图像的广角畸变的校正。(Image processing procedures for image geometric distortion correction for images of wide-angle distortion correction.)

光伏最大功率点跟踪模型 希望对大家有用 谢谢(Photovoltaic Maximum Power Point Tracking model I hope useful thanks)