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CN_edgedetect
本程序为二值图像的处理。通过一种称为CNED(connectivity number based edge detection)的方法对二值图像进行边缘提取。结果表明这种方法比candy sober 等算子更加精确，效果更好。(This procedure for binary image processing. Through a known CNED (connectivity number based edge detection) method for binary image edge extraction. The results show that this method, such as candy sober than the operator more precise, better.)
- 2007-04-22 13:23:27下载
- 积分：1
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封装好的一个显示BMP JPG GIF WMF图形的类
封装好的一个显示BMP,JPG,GIF,WMF图形的类(Packaging, a good show BMP, JPG, GIF, WMF graphics category)
- 2005-06-09 09:51:05下载
- 积分：1
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imagetool
1. 将真彩位图转化成各色或黑白位图，进行二值化(支持多种抖动方法)处理后的位图，效果和速度极佳。
2. 将真彩或黑白位图进行 90度 , 180 度 ,270 度 高速度旋转。
(1. The true color bitmap into a colored or black and white bitmap to binary (supports multiple dithering methods) treated bitmap, effects and excellent speed. 2. The true color or black and white bitmap to 90 degrees, 180 degrees, 270-degree high-speed rotation.)
- 2010-03-08 13:24:20下载
- 积分：1
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sift_demo_src
sift Algorithm made by David Lowe sift demo
- 2020-07-01 05:20:01下载
- 积分：1
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MATLAB
matlab 图像处理方面的经典书籍，值得初学者仔细认真的学习(matlab image processing aspects of classic books, worthy of serious study carefully beginners)
- 2014-06-15 21:25:27下载
- 积分：1
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8049371
三相不平衡的补偿方法,simulink环境下实现,不错(The compensation method of three-phase imbalance is realized in simulink environment, which is good.)
- 2019-05-20 20:21:16下载
- 积分：1
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texiao
说明： 特效显示，交叉飞入等。。。来自VC++图像处理程序设计配套光盘(Effects show that such cross-fly. . . From the VC++ image processing program design supporting CD-ROM)
- 2010-03-19 14:03:01下载
- 积分：1
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main
基于渐近区域的图像拼接matlab程序，可以实现全景图拼接(Based on the asymptotic region matlab image mosaic program, you can realize panorama stitching)
- 2009-02-10 16:14:13下载
- 积分：1
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structure-elemdnt-analysis
Space structure with static analysis % elastic beam element space structure with static analysis, elastic beam element
- 2017-08-14 15:59:30下载
- 积分：1
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LinearClassifier_1.0
说明： 基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
- 2021-01-17 10:38:45下载
- 积分：1
