-
chapter9
说明： 《数字图像处理与机器视觉:Visual C++与Matlab实现》5
图像分割,霍夫变换,Hough变换直线检测的Matlab实现(" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 5 image segmentation, Hough transform, Hough transform line detection of the Matlab implementation)
- 2010-04-22 09:15:40下载
- 积分：1
-
CoSaMP
压缩感知基追踪算法，实现二维图像的小波变换以及图像重构(Compressed sensing based tracking algorithm, wavelet transform two-dimensional image, and image reconstruction)
- 2021-04-13 19:48:55下载
- 积分：1
-
Bregman_Matlab_demo
这是bregman迭代的小例子，看完之后对图像处理的优化帮助很大，你可以掌握其中的优化算法，很好，很实用(This is the iterative Bregman small example, after reading on the optimization of image processing helps a lot, you can grasp optimization algorithm, which is very good, very practical.)
- 2014-08-26 18:56:33下载
- 积分：1
-
color_moment
输入图片的一阶矩、二阶矩、三阶矩。颜色空间可以在计算前更改( the first moment, second moment and third moment of the picture)
- 2012-02-24 16:32:12下载
- 积分：1
-
kalman_image
图像德拉尔曼滤波，实现对给定图像的卡尔曼去噪(kalman filter of image)
- 2021-03-20 02:09:18下载
- 积分：1
-
digital-image-homework.doc
图像处理作业：基于高频补偿算法实现图像滤波及分析
数值分析作业：四种方法实现求解根号3的值(Image processing operations: image filtering and analysis of numerical analysis operations: four methods based on high-frequency compensation algorithm to solve the root of the value)
- 2012-11-27 16:19:16下载
- 积分：1
-
gspd
生成高斯光速及其变化束腰，平顶目标图片，和各种光束整形的图形(Generating gaussian beam waist and the changes the speed of light
Ceiling target images, and various beam shaping graphics)
- 2012-10-15 17:12:11下载
- 积分：1
-
ShearLab-1.1
图像融合里边剪切波变换方法的工具箱，欢迎下载(Shear wave transformation method for image fusion in the toolbox, welcome to download)
- 2013-09-17 09:27:54下载
- 积分：1
-
融合质量评价
可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)
- 2019-05-15 14:42:30下载
- 积分：1
-
daima
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)
- 2013-03-11 21:10:47下载
- 积分：1
