ikmeans

图像分割的matlab程序，以及其他的一些程序。希望能对大家有用，如有错误请谅解。(Matlab image segmentation procedures and other procedures. We hope that it can be useful if there is an error, please understanding.)

实现了在Winform中图片的拖拽移动及缩放，用到了PictureBox控件.

PLSA源码，并附有PLSA理论在图像自动标注中的应用，有几篇具有代表性的论文，论文中讨论了PLSA的改进并应用在图像处理中。(PLSA source code, with PLSA theory in automatic image annotation application, some of the representative papers, thesis discusses the PLSA improvement and application in image processing.)

demons三维非刚性图像配准，速度很快，基于ITK(demons of 3D non-rigid image registration, very fast, based on ITK)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)

根据高程点，绘制等高线的matlab小程序。(According elevation points, draw contour lines matlab applet.)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

用VC++视觉检测程序，可以打开PCB板的照片文件，对其进行编辑、点运算、几何变换、正交变换、图像增强、形态变换、边缘与轮 廓检测、图像分析与复原、图像编码等功能。其中点运算包括图像反色、线性变换、阀值变换等功能；边缘检测包括Robert算子、 Sobel算子、Gauss-Laplace算子等；正交变换包括傅里叶变换、离散余弦变换、沃尔什变换；图像编码包括哈弗曼编码表、香农弗 曼编码表、行程编码、LZW编码等。 对于研究电子封装技术，视觉检测及电机精确控制的同学学习参考使用。(visual detecting for PCB.rar)

本代码实现了基于卡方分布(nakagami 分布)的恒虚警检测(CFAR)，通过在查找表的形式，实现参数估计和阈值估计，完成对目标的检测。(The code based on the chi-square distribution (nakagami distribution) of the CFAR (CFAR), through the form of a lookup table to achieve the threshold parameter estimates and estimates to complete the target detection.)

根据MPEG7中图像的SCD描述算子，提取图像在HSV空间中的直方图。并且可以与源图像进行比较。(MPEG 7 Scalable Color Descriptor experiment)