static_kalman_allorder

本文件主要介绍了利用harris进行角点提取，ncc算法进行粗匹配，ransac算法进行错误匹配点的消除(harris+ncc+ransac)

关于分数阶傅里叶变换的理论，算法，及应用，有代码，附论文和其他资料若干(Input signal to calculate the discrete fractional Fourier transform, with a number of papers and other information)

halcon与C#联合编程，控件功能 1,支持鼠标中键缩放和左键拖动 2,支持在图像缩放后,region,xld,roi能够复现 3,支持region,xld按照指定颜色显示,并在缩放后复现 4,支持矩形1,矩形2,圆,和直线roi的绘制 5,可以显示当前鼠标左键所在位置的图像灰度值 6,可以保存原图,或者截屏当前窗口(Halcon and C # joint programming)

由rgb转化到ycrcb空间，再又ycrcb空间转化到rgb空间中(make a color space transmission from rgb into ycbcr，then transmit color space from ycrcb into rgb)

文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来 除m程序还包括测试图片、pdf文件、ppt文件、doc文档(matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file)

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)

图像纹理分析的源代码，基于分形维数的图像纹理分析(Image texture analysis of source code, based on fractal dimension of image texture analysis)

Mikolajczyk 的特征点提取 重复性评价代码(Mikolajczyk s evaluation of feature point extraction of repetitive code)

题目： 八宝粥的生产过程中需要用到大量的红豆（红蚕豆），而实际上从红豆产地购买得到的红豆中会参杂一些杂物和不合格红豆。为了保证八宝粥的质量，需要对红豆进行筛选，去除不合格红豆和其它杂物。目前国内在红豆筛选工序上仍然使用人工筛选的方式，存在人工成本高、精确度差、劳动强度大等缺点。因此八宝粥生产厂商迫切需求开发一款能够自动实现红豆筛选的自动化筛选机。针对上述需求，请设计筛选机中的基于可见光图像的红豆筛选算法，该算法应尽可能的准确的找到参杂在红豆原料中的不合格红豆和杂物。 附件包括两个不同实验环境下拍摄得到的红豆相关图片样本库，实验环境分别为自然光照条件和灯光条件。每个条件下的样本库包括合格、不合格、杂物和混合四类样本的图像，其中合格、不合格以及杂物的图像可用来训练或建模，混合类图像用来测试算法的准确性和实时性。同学可在自然光照环境下的样本库或者灯光条件下的样本库中任选其一，用于解决上述问题。 作业提交格式包括以下四个内容： 一、 问题分析 二、 算法设计 三、 实验结果(将自己选择的样本库中的混合样本图片中的样本个体进行分类，并给出可视化的分类结果。) (Title:Use a lot of red bean production process of eight-treasure porridge ( red bean ), but in fact from the Red areas available in red bean can blend some sundries and unqualified red bean. In order to ensure the quality of eight-treasure porridge, the need for screening of red bean, red bean and other debris removal is not qualified. At present in the domestic bean screening process still use manual screening method, has the disadvantages of high labor costs, poor accuracy, high labor intensity. Therefore, eight-treasure porridge manufacturers need to develop a can achieve automatic bean screening automatic screening machine. According to the above requirements, please design screening machine selection algorithm based on visible light image of the red, the algorithm should be as accurate as possible to find the mixed in the bean raw materials in the unqualified red bean and debris.Accessories include captured in two different experimental environment of the red bean image sample dat)