3d-reconstruction-usingmatlab

本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

在最不重要位替换嵌入算法的基础上引入矩阵编码，增强水印隐蔽性，有效地提高水印嵌入效率。(On the basis of the least significant bit embedded algorithm is introduced to Replace the matrix coding, to enhance hidden watermark, the watermark embedding effectively improve efficiency.)

图像的超分辨率重建，比利用了三次插值好，matlab代码，初学者(Image super-resolution reconstruction, than the use of three interpolation is good, matlab code, beginners)

较简易的视频目标跟踪算法，有需要的朋友可参考(Than simple video target tracking algorithm, there is a need to refer to a friend)

BM3D图像去噪算法。当下较为先进的图像去噪算法，可以对图像进行较好的去噪。在代码中包含了彩色图像，运动图像等多种bm3d去噪。(BM3D image denoising. Present a more advanced image denoising algorithm, can be a good image denoising. Included in the code of color images, moving images, and other bm3d denoising.)

使用 RANSAC 算法计算仿射变换矩阵(RANSAC algorithm using an affine transformation matrix)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

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)

说明：  利用matlab实现车牌定位识别，基于颜色信息，效果很明显，准确率很好(License plate location using matlab to achieve recognition, color information based on the results it is clear that very good accuracy)

直线检测 Visual C++编写 用于图像处理(line segment detection)