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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
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Keystone-Transfor
Keystone Transform in ground moving target detection,it s very useful new comer(Keystone Transform in ground moving target detection)
- 2020-08-17 21:38:23下载
- 积分:1
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ippiman
图像处理的IPP库使用手册,包括每个函数的使用说明,以及参数的意义。(IPP library of image processing using the manual, including instructions for each function, as well as the significance of the parameters.)
- 2013-01-10 20:23:06下载
- 积分:1
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101259371chat
说明: 图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)
- 2008-12-04 10:33:34下载
- 积分:1
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chp8
第8章 图象的检测及模板匹配
图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)
- 2008-04-12 19:32:03下载
- 积分:1
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Digital-image-processing
(2001何斌+光盘)Visual c++数字图像处理(第二版),使用VC进行数字图像处理的相关资料,十分实用!((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)
- 2012-11-20 20:24:04下载
- 积分:1
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jushuSAR
在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上,提出了一种新的全孔径分辨率SAR成像算法。
根据SAR在条带与聚束模式下回波信号之间的差别,利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子
孔径成像,而后再将各方位子孔径带宽合成为全孔径带宽,以形成具有全孔径分辨率的SAR图像,极大降低了系统PRF
的要求。(In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth based on the time-frequency relationship, a new full-aperture resolution SAR imaging algorithm. According to SAR in strip and spotlight mode, the difference between the echo signal, the use of existing mature band SAR imaging algorithm first bit of the spotlight SAR the parties to the sub-aperture imaging, and then place then all the bandwidth synthetic aperture the bandwidth for the full aperture to form a full aperture resolution SAR images, greatly reducing the system PRF requirements.)
- 2010-07-07 14:03:19下载
- 积分:1
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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
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EllipseCir
椭圆拟合,输入中心坐标及椭圆长半轴和短半轴即可画出相应椭圆(ellipse fitting)
- 2013-12-18 23:49:16下载
- 积分:1
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Laplasse
拉普拉斯算法的实现,程序是用vc++编写的(Laplasse algorithm)
- 2011-12-28 15:43:07下载
- 积分:1