lnplnp_的博客

/*********************//* demo string *//*********************/#define _SCL_SECURE_NO_WARNINGS #include<string>#include<iostream>#include<algorithm>using namespace std...

找出模板图片所在的位置读入图片——模板匹配（三种方法）差值平方和匹配 CV_TM_SQDIFF 标准化差值平方和匹配 CV_TM_SQDIFF_NORMED 相关匹配 CV_TM_CCORR 标准相关匹配 CV_TM_CCORR_NORMED 相关匹配 CV_TM_CCOEFF 标准相关匹配 CV_TM_CCOEFF_NORMED"""模板匹配"""import cv2...

 # -*- coding: utf-8 -*-"""二值化图像"""import cv2 as cvimport numpy as np#全局二值化def threshold_demo(image): gray=cv.cvtColor(image,cv.COLOR_BGR2GRAY) #cv.THRESH_OTSU OTSU算法自适应阈值 cv.TH...

先分块，在局部二值化# -*- coding: utf-8 -*-"""超大图像二值化图像ROI与空白图像过滤局部阈值图像二值化@author: LNP"""import cv2 as cvimport numpy as npdef big_image_demo(image): gray=cv.cvtColor(image,cv.COLOR_BGR2GRAY) ...

 # -*- coding: utf-8 -*-"""Created on Sat Aug 11 10:43:03 2018高斯金字塔reduce=高斯模糊+降采样expend=扩大+卷积@author: LNP"""import cv2 as cv#高斯金字塔def guasian_pyramid_demo(image): level=3 tmp=im...

# -*- coding: utf-8 -*-"""sobel 边缘提取 一阶导数拉普拉斯边缘提取 二阶导数@author: LNP"""import cv2 as cvimport numpy as np#拉普拉斯默认4卷积核def laplace_demo(image): lpls=cv.Laplacian(image,cv.CV_32F) dst=cv...

1、高斯模糊2、灰度转换3、计算梯度4、非最大信号抑制5、高低阈值输出二值图像# -*- coding: utf-8 -*-"""canny边缘提取1、高斯模糊2、灰度转换3、计算梯度4、非最大信号抑制5、高低阈值输出二值图像@author: LNP"""import cv2 as cvimport numpy as npdef edge_demo(imag...

转换灰度图——边缘检测——霍夫线变换# -*- coding: utf-8 -*-"""霍夫直线检测转换灰度图，边缘检测，霍夫线变换@author: LNP"""import cv2 as cvimport numpy as np#标准霍夫线变换 贯穿非直线def line_detect_demo(image): copying=image.copy() ...

霍夫圆检测边缘保留滤波——转灰度图——霍夫圆检测# -*- coding: utf-8 -*-"""霍夫圆检测边缘保留滤波————转灰度图————霍夫圆检测@author: LNP"""import cv2 as cvimport numpy as npdef detect_circle_demo(image): #hough圆检测对噪声敏感，必须滤波 b...

1def recursion(n): if n==1: return 1 else: return n+recursion(n-1)recursion(100) 2ch=0num=0space=0other=0def count(str): global ch,num,space,other for ...

加减乘除；逻辑与或非；求均值方差；图片融合改变对比度亮度import cv2 as cvimport numpy as npdef add_demo(src1,src2): dst=cv.add(src1,src2) cv.imshow('add',dst)def sub_demo(src1,src2): dst=cv.subtract(src1,src2)...

RGB转化灰度图，HSV，动态捕获特定颜色的物体import cv2 as cvimport numpy as np#颜色空间def color_space_demo(image): gray=cv.cvtColor(image,cv.COLOR_BGR2GRAY) yuv=cv.cvtColor(image,cv.COLOR_BGR2YUV) hsv=cv...

获取图片信息，从视频保存图片，颜色反转（逻辑非），计时import cv2 as cvimport numpy as np#获取图像信息def get_image_info(image): print(type(image)) print(image.shape) print(image.size) print(image.dtype) pixe...

#ifndef __UF__H__#define __UF__H__#include<cassert>//只记录id值，和哪个节点联通，效率最低class UF1{private: int *id; int count;public: UF1(int n){ count = n; id = new int[n]; for (size_t i = 0;...

直方图反向投影，物体追踪，找出种子图片色彩空间对应的物体读入图像——转HSV空间——计算sample直方图——归一化——计算反射投影import cv2 as cvfrom matplotlib import pyplot as pltimport numpy as np#直方图反向投影，物体追踪，找出种子图片色彩空间对应的物体#读入图像——转HSV空间——计算sample直方图...

11a=input()b=[]for i in a: b.append(ord(i))print(b)2import matha=int(input('a:'))b=int(input('b:'))c=int(input('c:'))if a+b<=c or a+c<=b or b+c<=a : print('不是三角形')el...

通过直方图比较图像相似度import cv2 as cvfrom matplotlib import pyplot as pltimport numpy as np#直方图均衡化 增强对比度def equalHist_demo(image): gray=cv.cvtColor(image,cv.COLOR_BGR2GRAY) cv.imshow('gray',gray...

/*********************//* demo vector *//*********************/#include<vector>#include<iostream>using namespace std;//遍历打印void printFun(vector<int> &obj){ for (...

deque 结合了vector的全部功能和list的首尾插入删除功能/*********************//* demo deque *//*********************/#include<deque>#include<iostream>using namespace std;//遍历打印void printFun(de...

stack模型先进后出#include<stack>#include<iostream>using namespace std;int main(){ stack<int> s; for (size_t i = 0; i < 10; i++) { s.push(i); } while (!s.empty()) { int...

queue模型先进先出#include<queue>#include<iostream>using namespace std;int main(){ queue<int> s; for (size_t i = 0; i < 10; i++) { s.push(i); } while (!s.empty()) { int...

list双向列表不能随机访问#include<list>#include<iostream>using namespace std;void printFun(list<int> &obj){ for (list<int>::iterator it = obj.begin(); it != obj.end(); it++)...

#include<set>#include<iostream>#include<functional>#include<string>using namespace std;class student{public: student(int ID,string name) { this->ID = ID; this...

#include<map>#include<string>#include<iostream>using namespace std;void printFun(map<int, string> &obj){ for (map<int, string>::iterator it = obj.begin(); it ...

#include<vector>#include<iostream>#include<algorithm>#include<functional>using namespace std;template <typename T>class sum//二元函数对象{public: T operator()(T &...

指颜色定区间内的像素填充floodFill(copying,mask,start_point,filled_color,lower,higth,cv.FLOODFILL_FIXED_RANGE)与二值图像的填充，只在mask填充floodFill(copying,mask,start_point,filled_color,cv.FLOODFILL_MASK_ONLY)import...

均值，中值，自定义模糊，锐化import cv2 as cvimport numpy as np#blur(src,卷积核) 均值模糊 适合消除随机噪声，领域内平均值def blur_demo(image): dst=cv.blur(image,(2,15)) cv.imshow("blur_demo",dst)#medianBlur(src,卷积核) 中值模糊 ...

加高斯噪声，高斯模糊import cv2 as cvimport numpy as np#计时，装饰器def decorate_time(func): def wrapper(src): t1=cv.getTickCount() func(src) t2=cv.getTickCount() print('time...

两个APIbilateralFilter 双边滤波pyrMeanShiftFiltering 均值偏移滤波import cv2 as cvimport numpy as np#边缘保留滤波#高斯双边滤波 def bi_demo(image): dst=cv.bilateralFilter(image,0,100,30) cv.imshow('bi_demo'...

提取直方图#pip install matplotlibfrom matplotlib import pyplot as pltimport cv2 as cvdef plot_demo(image): plt.hist(image.ravel(),256,[0,256])#hist(src,bin,[,]) plt.show("直方图")def image_d...

/*排序总结：（基于100w随机数，有序数、重复数测试）1、插入排序适合近乎有序的序列2、归并排序优化：（优化前       120S）1）数据小于15时采用插入排序 10S2）避免频繁动态申请内存 memcpy(dest,src,sizeof(int)*len) 用static 变量      0.2S缺点：需要O(N)的空间复杂度3、快速排序优化：（优化前 如果序列完全有序，则...