Itti-Matlab

视频图像处理，可以实时处理视频数据，包括canny算子，边缘检测等(video image processing, real-time processing video data, including the canny operator, edge detection, etc.)

说明：  运用低通滤波器，中心削波和自相关技术估计一段男性和女性语音信号的基音周期，画出基音轨迹曲线，给出估计准确率。(The use of low-pass filter, the center clipping and related technologies is estimated from a male and female speech signal pitch period, pitch trajectory drawn curves of estimated accuracy.)

说明：  关于图像处理里的一些应用，将视觉相应算法应用到工程实际中，详细解说了算法在这里面的一些应用，很实用。(On some applications in image processing, the visual corresponding algorithm is applied to the engineering practice, a detailed explanation here below in some applications, the proposed algorithm is very practical.)

图像去云处理小程序，可以方便地对有云覆盖的影像进行处理，操作简单，效果较好(cloud remove procedures)

图像检索。通过计算所要检索的图像与图像库中的距离dis，dis最小者与检索图像同类。(image retrieval. Calculated to be indexed images and pictures of the dis the distance, the smallest dis with similar image retrieval.)

说明：   vc代码,用于图像直方图均衡（以原始girl图像为测试图像） (vc code, for image histogram equalization (in the original girl image for the test images))

二维分数阶傅立叶变换程序，可用于图像，信号的处理，博士师兄编写，亲测可用(2-D Fractional Fourier transform)

最大熵图像复原方法，效果还好，这是最近努力的结果，不过或许需要适当的改进之后会有更好的结果，分享一下(Maximum entropy image restoration method, the effect Fortunately, this is the result of recent efforts, but may need to be appropriate to improve after the better results, share)

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：  准确检测图像中的高光区域，并对检测出的高光区域的高光进行去除(Detect highlights, remove highlights)