BP

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)

相位编组算法实现纹理边缘的直线检测.用于快速直线提取(Phase Group texture edge detection algorithm to achieve a straight line. For fast line extraction)

数字图像处理，边缘提取，分割，湖面面积计算matlab程序(Image processing, edge detection, segmentation, the lake area)

基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。 (based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.)

全息图的建立与重现 比较简单 但是有说明 比较容易懂(The establishment and reproduce hologram is relatively simple but relatively easy to understand instructions)

ViBE背景建模算法，从 PC上移植改编，可在嵌入式上运行，效率较高(ViBE background modeling algorithm, coded PC to imbeded. )

合成孔径雷达成像算法仿真程序(Synthetic aperture radar imaging algorithm simulation program)

PCA+SVM，对图像进行降维分类，并在yale库上测试取得比较好的效果(PCA+ SVM, dimensionality reduction of image classification, and yale library to achieve better test results)

通过websocket接收h264裸流后，在web端解析播放(After receiving the bare stream of h264 through websocket, it is parsed and played on the web side)

ELMAN计算方法，改进的算法,非常好用(ELMAN calculation algorithm, the improved，use very well)