robort

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)

Fast Discrete Curvelet Transform有正反变换,各个程序里面的参数都有详细的说明.(Fast Discrete Curvelet Transform are pros and transform, inside the various parameters have detailed explanations.)

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

说明：  利用区域标记进行区域分割，去除面积较小的联通区域(Use of regional segmentation markers, removing smaller areas Unicom)

Visual C++MATLAB图像处理与识别实用案例精选之　图像中值滤波　算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)

基于遥感光学图像的宽网道路检索，能够快速的实现半自动道路提取，给出种子点对输入方向进行快速检索(Optical remote sensing images based on a wide network of roads retrieval, the realization of fast semi-automatic road extraction, given the input direction of the seed point for rapid retrieval)

采用拉普拉斯金字塔的图像融合程序，完成图像融合功能，需采用高于matlab2009的matlab(the image fusion source code using lap pyramid, you have to use the matlab version later than 2009.)

此代码为传统的snake模型算法代码，运行其中的egsnake.m即可。该代码实现对图像的边缘检测，仅供大家一块学习交流(This code is the code algorithm of traditional snake model, which can run egsnake.m. The code to achieve the image edge detection, we only a learning exchange.)

说明：  基于图像边缘特征的图像放大增强算法，提高图像的分辨率。(The edge of the characteristics of image-based image enhancement algorithms to enlarge and enhance image resolution)

相机标定，对一副标定图像进行角点的提取，提取焦点依据Harris检测算法。(detecter corner Harris )