ACM試題An Easy Problem
Description
As we known, data stored in the computers is in binary form. The problem we discuss now is about the positive integers and its binary form. Given a positive integer I, you task is to find out an integer J, which is the minimum integer greater than I, and the number of 1 s in whose binary form is the same as that in the binary form of I. For example, if "78" is given, we can write out its binary form, "1001110". This binary form has 4 1 s. The minimum integer, which is greater than "1001110" and also contains 4 1 s, is "1010011", i.e. "83", so you should output "83".
標簽：
Description
computers
Problem
binary
上傳時間：
2013-12-11
上傳用戶：libenshu01
英文版,pdf格式。
詳細說明：
Title: STL Tutorial and Reference Guide: C++ Programming with the Standard Template Library (2nd Edition)
URL: http://www.amazon.com/exec/obidos/tg/detail/-/0201379236/
ISBN: 0201379236
Author: David R. Musser / Gillmer J. Derge / Atul Saini / Gilmer J. Derge
Publisher: Addison-Wesley
Page: 560
Edition: 2nd edition (March 27, 2001)
Catalog: C++
Format: PDF
Size: 3.8M
Supplier: December
Summary: The Standard Template Library was created as the first library of genetic algorithms and data structures, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, and value semantics. This guide provides a tutorial, a description of each element of the library, and sample applications. The expanded second edition includes new code examples and demonstrations of the use of STL in real-world C++ software development it reflects changes made to STL for the final ANSI/ISO C++ language standard.
標簽：
Programming
Reference
Standard
Tutorial
上傳時間：
2015-09-02
上傳用戶：Breathe0125
1.24位真彩色->256色灰度圖。
2.預處理:中值濾波。
3.二值化:用一個初始閾值T對圖像A進行二值化得到二值化圖像B。
初始閾值T的確定方法是:選擇閾值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分別是最高、最低灰度值。
該閾值對不同牌照有一定的適應性,能夠保證背景基本被置為0,以突出牌照區域。
4.削弱背景干擾。對圖像B做簡單的相鄰像素灰度值相減,得到新的圖像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左邊緣直接賦值,不會影響整體效果。
5.用自定義模板進行中值濾波
區域灰度基本被賦值為0。考慮到文字是由許多短豎線組成,而背景噪聲有一大部分是孤立噪聲,用模板(1,1,1,1,1)T對G進行中值濾波,能夠得到除掉了大部分干擾的圖像C。
6.牌照搜索:利用水平投影法檢測車牌水平位置,利用垂直投影法檢測車牌垂直位置。
7.區域裁剪,截取車牌圖像。
標簽：
Gmax-G
1.24
Gmax
閾值
上傳時間：
2014-01-08
上傳用戶：songrui
