OpenCV代码提取:flip函数的实现
OpenCV中实现图像翻转的函数flip,公式为:
目前fbc_cv库中也实现了flip函数,支持多通道,uchar和float两种数据类型,经测试,与OpenCV3.1结果完全一致。
实现代码flip.hpp:
// fbc_cv is free software and uses the same licence as OpenCV
// Email: fengbingchun@163.com
#ifndef FBC_CV_FLIP_HPP_
#define FBC_CV_FLIP_HPP_
/* reference: include/opencv2/core.hpp
modules/core/src/copy.cpp
*/
#include <typeinfo>
#include "core/mat.hpp"
namespace fbc {
template<typename _Tp, int chs> static int flipHoriz(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst);
template<typename _Tp, int chs> static int flipVert(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst);
// Flips a 2D array around vertical, horizontal, or both axes
// flipCode: 0 means flipping around the x - axis and positive value means flipping around y - axis.
// Negative value means flipping around both axes
// support type: uchar/float, multi-channels
template <typename _Tp, int chs>
int flip(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst, int flipCode)
{
FBC_Assert(typeid(uchar).name() == typeid(_Tp).name() || typeid(float).name() == typeid(_Tp).name()); // uchar || float
if (dst.empty()) {
dst = Mat_<_Tp, chs>(src.rows, src.cols);
} else {
FBC_Assert(src.rows == dst.rows && src.cols == dst.cols);
}
Size size = src.size();
if (flipCode < 0) {
if (size.width == 1)
flipCode = 0;
if (size.height == 1)
flipCode = 1;
}
if ((size.width == 1 && flipCode > 0) ||
(size.height == 1 && flipCode == 0) ||
(size.height == 1 && size.width == 1 && flipCode < 0)) {
src.copyTo(dst);
return 0;
}
if (flipCode <= 0)
flipVert(src, dst);
else
flipHoriz(src, dst);
if (flipCode < 0)
flipHoriz(dst, dst);
return 0;
}
template<typename _Tp, int chs>
static int flipHoriz(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst)
{
Size size = src.size();
size_t esz = sizeof(_Tp) * chs;
int i, j, limit = (int)(((size.width + 1) / 2) *esz );
AutoBuffer<int> _tab(size.width * esz);
int* tab = _tab;
size_t sstep = src.step;
size_t dstep = dst.step;
const uchar* src_ = src.ptr();
uchar* dst_ = dst.ptr();
for (i = 0; i < size.width; i++) {
for (size_t k = 0; k < esz; k++) {
tab[i*esz + k] = (int)((size.width - i - 1) * esz + k);
}
}
for (; size.height--; src_ += sstep, dst_ += dstep) {
for (i = 0; i < limit; i++) {
j = tab[i];
uchar t0 = src_[i], t1 = src_[j];
dst_[i] = t1; dst_[j] = t0;
}
}
return 0;
}
template<typename _Tp, int chs>
static int flipVert(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst)
{
const uchar* src0 = src.ptr();
uchar* dst0 = dst.ptr();
Size size = src.size();
size_t sstep = src.step;
size_t dstep = dst.step;
size_t esz = sizeof(_Tp) * chs;
const uchar* src1 = src0 + (size.height - 1)*sstep;
uchar* dst1 = dst0 + (size.height - 1)*dstep;
size.width *= (int)esz;
for (int y = 0; y < (size.height + 1) / 2; y++, src0 += sstep, src1 -= sstep, dst0 += dstep, dst1 -= dstep) {
int i = 0;
if (((size_t)src0 | (size_t)dst0 | (size_t)src1 | (size_t)dst1) % sizeof(int) == 0) {
for (; i <= size.width - 16; i += 16) {
int t0 = ((int*)(src0 + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst0 + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
t0 = ((int*)(src0 + i))[1];
t1 = ((int*)(src1 + i))[1];
((int*)(dst0 + i))[1] = t1;
((int*)(dst1 + i))[1] = t0;
t0 = ((int*)(src0 + i))[2];
t1 = ((int*)(src1 + i))[2];
((int*)(dst0 + i))[2] = t1;
((int*)(dst1 + i))[2] = t0;
t0 = ((int*)(src0 + i))[3];
t1 = ((int*)(src1 + i))[3];
((int*)(dst0 + i))[3] = t1;
((int*)(dst1 + i))[3] = t0;
}
for (; i <= size.width - 4; i += 4) {
int t0 = ((int*)(src0 + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst0 + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
}
}
for (; i < size.width; i++) {
uchar t0 = src0[i];
uchar t1 = src1[i];
dst0[i] = t1;
dst1[i] = t0;
}
}
return 0;
}
} // namespace fbc
#endif // FBC_CV_FLIP_HPP_
测试代码test_flip.cpp:
#include "test_flip.hpp"
#include <assert.h>
#include <iostream>
#include <string>
#include <flip.hpp>
#include <opencv2/opencv.hpp>
int test_flip_uchar()
{
cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/1.jpg", 1);
if (!matSrc.data) {
std::cout << "read image fail" << std::endl;
return -1;
}
int width = matSrc.cols;
int height = matSrc.rows;
int flipCode[3] {-1, 0, 1}; // both axes, x axis, y axis
for (int i = 0; i < 3; i++) {
fbc::Mat_<uchar, 3> mat1(height, width, matSrc.data);
fbc::Mat_<uchar, 3> mat2(height, width);
fbc::flip(mat1, mat2, flipCode[i]);
cv::Mat mat1_(height, width, CV_8UC3, matSrc.data);
cv::Mat mat2_;
cv::flip(mat1_, mat2_, flipCode[i]);
assert(mat2.rows == mat2_.rows && mat2.cols == mat2_.cols && mat2.step == mat2_.step);
for (int y = 0; y < mat2.rows; y++) {
const fbc::uchar* p1 = mat2.ptr(y);
const uchar* p2 = mat2_.ptr(y);
for (int x = 0; x < mat2.step; x++) {
assert(p1[x] == p2[x]);
}
}
std::string name = std::to_string(i);
std::string file_path = "E:/GitCode/OpenCV_Test/test_images/";
std::string name_fbc = file_path + "flip_fbc_" + name + ".jpg";
std::string name_cv = file_path + "flip_cv_" + name + ".jpg";
cv::Mat matSave(height, width, CV_8UC3, mat2.data);
cv::imwrite(name_fbc, matSave);
cv::imwrite(name_cv, mat2_);
}
return 0;
}
int test_flip_float()
{
cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/1.jpg", 1);
if (!matSrc.data) {
std::cout << "read image fail" << std::endl;
return -1;
}
cv::cvtColor(matSrc, matSrc, CV_BGR2GRAY);
matSrc.convertTo(matSrc, CV_32FC1);
int width = matSrc.cols;
int height = matSrc.rows;
int flipCode[3] {-1, 0, 1}; // both axes, x axis, y axis
for (int i = 0; i < 3; i++) {
fbc::Mat_<float, 1> mat1(height, width, matSrc.data);
fbc::Mat_<float, 1> mat2(height, width);
fbc::flip(mat1, mat2, flipCode[i]);
cv::Mat mat1_(height, width, CV_32FC1, matSrc.data);
cv::Mat mat2_;
cv::flip(mat1_, mat2_, flipCode[i]);
assert(mat2.rows == mat2_.rows && mat2.cols == mat2_.cols && mat2.step == mat2_.step);
for (int y = 0; y < mat2.rows; y++) {
const fbc::uchar* p1 = mat2.ptr(y);
const uchar* p2 = mat2_.ptr(y);
for (int x = 0; x < mat2.step; x++) {
assert(p1[x] == p2[x]);
}
}
}
return 0;
}
GitHub:https://github.com/fengbingchun/OpenCV_Test
OpenCV代码提取:flip函数的实现的更多相关文章
- OpenCV代码提取:transpose函数的实现
OpenCV中的transpose函数实现图像转置,公式为: 目前fbc_cv库中也实现了transpose函数,支持多通道,uchar和float两种数据类型,经测试,与OpenCV3.1结果完全一 ...
- OpenCV代码提取:dft函数的实现
The Fourier Transform will decompose an image into its sinus and cosines components. In other words, ...
- OpenCV代码提取: threshold函数的实现
threshold algorithm: The simplest image segmentation method. All thresholding algorithms take a sour ...
- OpenCV代码提取:遍历指定目录下指定文件的实现
前言 OpenCV 3.1之前的版本,在contrib目录下有提供遍历文件的函数,用起来比较方便.但是在最新的OpenCV 3.1版本给去除掉了.为了以后使用方便,这里将OpenCV 2.4.9中相关 ...
- opencv: flip函数的使用;
flip函数用于图像翻转,比较方便.在opencv中有几种形式: C++: void flip(InputArray src, OutputArray dst, int flipCode) Pytho ...
- OpenCV中的绘图函数-OpenCV步步精深
OpenCV 中的绘图函数 画线 首先要为画的线创造出环境,就要生成一个空的黑底图像 img=np.zeros((512,512,3), np.uint8) 这是黑色的底,我们的画布,我把窗口名叫做i ...
- 基础学习笔记之opencv(24):imwrite函数的使用
http://www.cnblogs.com/tornadomeet/archive/2012/12/26/2834336.html 前言 OpenCV中保存图片的函数在c++版本中变成了imwrit ...
- (转)Uri详解之——Uri结构与代码提取
前言:依然没有前言…… 相关博客:1.<Uri详解之——Uri结构与代码提取>2.<Uri详解之二——通过自定义Uri外部启动APP与Notification启动> 上几篇给大 ...
- Uri详解之——Uri结构与代码提取
目录(?)[+] 前言:依然没有前言…… 相关博客:1.<Uri详解之——Uri结构与代码提取>2.<Uri详解之二——通过自定义Uri外部启动APP与Notification启动& ...
随机推荐
- Opportunity的chance of success的赋值逻辑
该字段的值和另外两个字段Sales Stage和Status都相关. 从下列function module CRM_OPPORT_H_PROB_SET_EC可看出,当status不为代码中的这些硬编码 ...
- Jmeter入门14 后置处理器JSON Extractor 提取json的多个值
json串 []表示对象组成的数组,{}表示对象. 对象里包含多个 "属性":属性值.属性值可以是值,或数组,或对象. JSON Extractor使用json path表达式匹配 ...
- HDU 4757 Tree(可持续化字典树,lca)
题意:询问树上结点x到结点y路上上的权值异或z的最大值. 任意结点权值 ≤ 2^16,可以想到用字典树. 但是因为是询问某条路径上的字典树,将字典树可持续化,字典树上的结点保存在这条路径上的二进制数. ...
- 自定义Powershell提示符
实现效果: 实现原理: Powershell将个人配置脚本文件的地址存放在$profile变量中, 通过修改该变量达到想要的目的. 实现过程: 1>创建一个新的配置脚本: 2>编辑脚本内容 ...
- Java中Thread类的join方法到底是如何实现等待
现在的场景是A线程执行:public void run(){ bThread.join(0);//把b线程加入到当前线程(a线程),等待b结束,当前a线程才会结束.}B线程执行public void ...
- Css 截取字符串长度
.shortNameShow{ overflow:hidden; text-overflow:ellipsis; -o-text-overflow:ellipsis; white-space:nowr ...
- 【luogu P1231 教辅的组成】 题解
题目链接:https://www.luogu.org/problemnew/show/P1231 对于每本书只能用一次,所以拆点再建边 #include <queue> #include ...
- 【题解】UVA1218 Perfect Service
UVA1218:https://www.luogu.org/problemnew/show/UVA1218 刷紫书DP题ing 思路 参考lrj紫书 不喜勿喷 d(u,0):u是服务器,孩子是不是服务 ...
- HDU 2859 Phalanx(对称矩阵 经典dp样例)
传送门: http://acm.hdu.edu.cn/showproblem.php?pid=2859 Phalanx Time Limit: 10000/5000 MS (Java/Others) ...
- java类的初始化程序块以及被实例化时候的执行顺序
初始化块:在类实例化过程中初始化执行顺序是先执行静态初始化块,然后执行普通初始化块,最后执行构造函数,而且静态初始化只在第一次被实例化时执行且只执行一次.public class HelloWorld ...