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TestWorkFlow
此软件是用于Diagramshpe绘图,可用于学习如何制作流程图。(This software is used for Diagramshpe drawing and can be used to learn how to make flow charts.)
- 2020-06-16 10:40:01下载
- 积分:1
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ResultValue
Represents an evaluation of the goodness of a result.
- 2013-12-05 11:00:58下载
- 积分:1
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WINSOCK控件的调用实例,方便没有使用过winsock控件的人学习,快速掌握TCP编程...
WINSOCK控件的调用实例,方便没有使用过winsock控件的人学习,快速掌握TCP编程-Winsock Control calls example, did not use a convenient control protocols of the study and grasp the TCP programming
- 2022-02-01 15:19:37下载
- 积分:1
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Gerchberg-Saxton.ppt
How to make holography
- 2013-10-21 21:45:58下载
- 积分:1
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parallel--ports
This source code is used to controll the PC parllel port.
- 2014-02-22 23:05:56下载
- 积分:1
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bayer抖动算法
抖动算法分为随机抖动算法和有序抖动算法。随机抖动算法随机产生一组模板方阵数列,随机数的产生期间在图像的最小灰度和最大灰度之间。有序抖动算法是人为地设置一些模板值进行匹配操作,主要有分散性抖动算法(Disperse Dither)和聚集型离散算法(cluster Dith神两种。分散型以Bayer有序抖动算法为代表。后来Ulichenay在以上两种算法的基础上,提出了局部聚集整体分散的抖动算法。(Dithering algorithm is divided into random dithering algorithm and ordered dithering algorithm. The random dithering algorithm randomly generates a set of template square matrix sequences, where the generation of random numbers is between the minimum gray level and the maximum gray level of the image. The ordered dithering algorithm is to manually set up some template values for matching operations. The main algorithms are decentralized dithering algorithm (Disperse Dither) and clustered discrete algorithm (cluster, Dith, and two). The decentralized algorithm is represented by the Bayer ordered dither algorithm. Later, Ulichenay proposed a local aggregation and scatter jitter algorithm based on the above two algorithms.)
- 2017-09-19 16:36:36下载
- 积分:1
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cdesignmodel
设计模式 c++不仅将c++的语言特性展示出来
而且很巧妙的解释了设计模式的应用性(Design pattern c++ not only c++ language features displayed and explained a very clever application of design patterns)
- 2010-07-03 16:51:42下载
- 积分:1
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56-policy-clime-systems
this is java aoolication project
- 2014-03-05 01:54:48下载
- 积分:1
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ColorConstants
This is Color Constants in VB6
- 2015-03-14 11:04:32下载
- 积分:1
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contourlet_modeling
Abstract—The contourlet transform is a new two-dimensional
extension of the wavelet transform using multiscale and direc-
tional fi lter banks. The contourlet expansion is composed of
basis images oriented at various directions in multiple scales,
with fl exible aspect ratios. Given this rich set of basis images,
the contourlet transform effectively captures smooth contours
that are the dominant feature in natural images.
- 2009-05-07 22:34:42下载
- 积分:1