This book focuses on combining C++ s power and flexibility with high performance and scalability, resulting in the best of both worlds. Specific topics include temporary objects, memory management, templates, inheritance, virtual functions, inlining, referencecounting, STL, and much more
标签: flexibility performance scalability and
上传时间: 2015-07-02
上传用户:784533221
车牌定位---VC++源代码程序 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。
上传时间: 2013-11-26
上传用户:懒龙1988
Readers can pick up this book and become familiar with C++ in a short time. Stan has taken a very broad and complicated topic and reduced it to the essentials that budding C++ programmers need to know to write real programs. His case study is effective and provides a familiar thread throughout the book.
标签: familiar Readers become short
上传时间: 2015-07-20
上传用户:thinode
This book is intended for "hands-on" developers or advanced students interested in understanding the strategies and tactics of concurrent network programming using C++ and object-oriented design. We describe the key design dimensions, patterns, and principles needed to develop flexible and efficient concurrent networked applications quickly and easily. Our numerous C++ code examples reinforce the design concepts and illustrate concretely how to use the core classes in ACE right away. We also take you "behind the scenes" to understand how and why the IPC and concurrency mechanisms in the ACE toolkit are designed the way they are. This material will help to enhance your design skills and to apply C++ and patterns more effectively in your own object-oriented networked applications.
标签: understanding developers interested advanced
上传时间: 2015-08-09
上传用户:epson850
1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。
上传时间: 2014-01-08
上传用户:songrui
Ma tla b 是当今使用最为广泛的数学软件,它具有相当强大的数值计算、数据处理、系统 分析、图形显示、甚至符号运算功能,是一个完整的数学平台,但是它不能实现端口操作和 实时控制Borland C + +Builder是一种新颖的可视化编程语言,可方便实现交互界面、数据 采集和端口操作等,但是它在数值处理分析和算法工具等方面,效率远远低于Matlab语言
上传时间: 2014-01-24
上传用户:牛津鞋
This note describes some key aspects of what C++ is and of how C++ has developed over the years. The spective is that of an experienced C++ user looking at C++ as a practical tool. No attempts are made to compare C++ to other languages, though I have tried to answer some questions that I have often heard asked by Lisp programmers.
标签: describes developed aspects years
上传时间: 2015-09-15
上传用户:haoxiyizhong
BNB20 Finds the constrained minimum of a function of several possibly integer variables. % Usage: [errmsg,Z,X,t,c,fail] = % BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...) % % BNB solves problems of the form: % Minimize F(x) subject to: xlb <= x0 <=xub % A*x <= B Aeq*x=Beq % C(x)<=0 Ceq(x)=0 % x(i) is continuous for xstatus(i)=0 % x(i) integer for xstatus(i)= 1 % x(i) fixed for xstatus(i)=2 %
标签: constrained variables function possibly
上传时间: 2014-01-13
上传用户:youth25
VC技术内幕第五版(英文)The 6.0 release of Visual C++ shows Microsoft s continued focus on Internet technologies and COM, which are key components of the new Windows Distributed interNet Application Architecture (DNA). In addition to supporting these platform initiatives, Visual C++ 6.0 also adds an amazing number of productivity-boosting features such as Edit And Continue, IntelliSense, AutoComplete, and code tips. These features take Visual C++ to a new level. We have tried to make sure that this book keeps you up to speed on the latest technologies being introduced into Visual C++.
标签: technologie Microsoft continued Internet
上传时间: 2014-11-22
上传用户:ggwz258
If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used.
标签: sorted individually respect vectors
上传时间: 2015-09-23
上传用户:comua