-
xingtaihexiaobo
基于小波和形态学的自然地面背景红外目标检测方法。。。。。。(Based on wavelet and morphology of the natural terrestrial background infrared target detection method)
- 2021-02-23 10:49:41下载
- 积分:1
-
count-rice
本程序可以使用图像处理算法对图片进行处理,对于一个含有各种物体的图片,如米粒,可以计算物体的个数。使用前请配置好opencv环境。希望对大家学习图像处理和opencv有所帮助...(This procedure can use the image processing algorithm for processing images for a picture with a variety of objects, such as a grain of rice, can calculate the number of objects. Configured before use opencv environment. We would like to learn opencv image processing and help ...)
- 2009-04-23 16:05:57下载
- 积分:1
-
Visual+C++Picture
说明: 该书介绍的用VC实现图像处理,其中包括一些图像处理知识的介绍(The book described the realization of image processing using VC, including some knowledge of image processing introduction)
- 2008-11-29 14:47:35下载
- 积分:1
-
image-geometric-transformation
实现图像的几何变换,包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)
- 2015-07-15 14:30:29下载
- 积分:1
-
UIC
mfc图像处理,实现图像的配准,自己编写,可以应用(mfc image processing, image registration)
- 2016-04-25 08:29:45下载
- 积分:1
-
ji
说明: 基于图像变换的火炮身管膛线参数检测技术研究(Based on image transform the Gun Barrel rifling parameter detection technology)
- 2013-03-07 09:16:32下载
- 积分:1
-
ImgZoom
图像局部放大功能。包括主要的三个消息处理函数,由鼠标拖动画出需放大区域,松开即将图像局部放大到整个客户区,能够实现层层放大。(enlarge images partial function. Including the three main message processing function, the mouse scrolling painted by the need to enlarge the regional, Loosen the forthcoming local enlarge images of the entire client area, can be achieved at every level to enlarge.)
- 2007-01-28 22:55:21下载
- 积分:1
-
DisplayBMP
显示处理后的BMP图像文件,VC C++ (read the bmp images )
- 2012-04-16 16:57:09下载
- 积分:1
-
XINIAN_1
1 完成图象处理的基本功能2:二值化、边缘检测、滤波。
2 熟悉dc的部分常用功能,学习图标控制弹出框。(a complete image processing of the two basic functions : values, edge detection, filtering. 2 familiar with the dc part of the commonly used function, learning to control pop icon frame.)
- 2007-05-26 13:36:55下载
- 积分:1
-
11
说明: LSA的第一步是要去创建词到标题(文档)的矩阵。在这个矩阵里,每一个索引词占据了一行,每一个标题占据一列。每一个单元(cell)包含了这个词出现在那个标题中的次数。例如,词”book”出现在T3中一次,出现在T4中一次,而”investing”在所有标题中都出现了一次。一般来说,在LSA中的矩阵会非常大而且会非常稀疏(大部分的单元都是0)。这是因为每个标题或者文档一般只包含所有词汇的一小部分。更复杂的LSA算法会利用这种稀疏性去改善空间和时间复杂度。(The Little Book of Common SenseInvesting: The Only Way to Guarantee Your Fair Share of StockMarket Returns ,)
- 2015-12-23 20:26:03下载
- 积分:1