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结果完全一致。
实现代码transpose.hpp:
// fbc_cv is free software and uses the same licence as OpenCV // Email: fengbingchun@163.com #ifndef FBC_CV_TRANSPOSE_HPP_ #define FBC_CV_TRANSPOSE_HPP_ /* reference: include/opencv2/core.hpp modules/core/src/matrix.cpp */ #include <typeinfo> #include "core/mat.hpp" namespace fbc { // transposes the matrix // \f[\texttt{dst} (i,j) = \texttt{src} (j,i)\f] // support type: uchar/float, multi-channels template <typename _Tp, int chs> int transpose(const Mat_<_Tp, chs>& src, Mat_<_Tp, chs>& dst) { FBC_Assert(typeid(uchar).name() == typeid(_Tp).name() || typeid(float).name() == typeid(_Tp).name()); // uchar || float if (dst.empty()) { dst = Mat_<_Tp, chs>(src.cols, src.rows); } else { FBC_Assert(src.rows == dst.cols && src.cols == dst.rows); } if (src.empty()) { dst.release(); return 0; } // handle the case of single-column/single-row matrices, stored in STL vectors. if (src.rows != dst.cols || src.cols != dst.rows) { FBC_Assert(src.size() == dst.size() && (src.cols == 1 || src.rows == 1)); src.copyTo(dst); return 0; } if (dst.data == src.data) { FBC_Assert(dst.cols == dst.rows); int n = dst.rows; int step = dst.step; uchar* data = dst.ptr(); for (int i = 0; i < n; i++) { _Tp* row = (_Tp*)(data + step*i); int i_ = i * chs; for (int j = i + 1; j < n; j++) { _Tp* data1 = (_Tp*)(data + step * j); int j_ = j * chs; for (int ch = 0; ch < chs; ch++) { std::swap(row[j_ + ch], data1[i_ + ch]); } } } } else { const uchar* src_ = src.ptr(); size_t sstep = src.step; uchar* dst_ = dst.ptr(); size_t dstep = dst.step; int m = src.cols, n = src.rows; for (int i = 0; i < n; i++) { const _Tp* s = (const _Tp*)(src_ + sstep*i); int i_ = i * chs; for (int j = 0; j < m; j++) { _Tp* d = (_Tp*)(dst_ + dstep*j); int j_ = j * chs; for (int ch = 0; ch < chs; ch++) { d[i_ + ch] = s[j_ + ch]; } } } } return 0; } } // namespace fbc #endif // FBC_CV_TRANSPOSE_HPP_
测试代码test_transpose.cpp:
#include "test_transpose.hpp" #include <assert.h> #include <iostream> #include <string> #include <opencv2/opencv.hpp> #include <transpose.hpp> int test_transpose_uchar() { cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/lena.png", 1); if (!matSrc.data) { std::cout << "read image fail" << std::endl; return -1; } int width = matSrc.cols; int height = matSrc.rows; cv::Mat matSrc_; cv::resize(matSrc, matSrc_, cv::Size(width, width)); fbc::Mat_<uchar, 3> mat1(width, width); memcpy(mat1.data, matSrc_.data, width * width * 3); fbc::transpose(mat1, mat1); cv::Mat mat1_(width, width, CV_8UC3); memcpy(mat1_.data, matSrc_.data, width * width * 3); cv::transpose(mat1_, mat1_); assert(mat1.rows == mat1_.rows && mat1.cols == mat1_.cols && mat1.step == mat1_.step); for (int y = 0; y < mat1.rows; y++) { const fbc::uchar* p1 = mat1.ptr(y); const uchar* p2 = mat1_.ptr(y); for (int x = 0; x < mat1.step; x++) { assert(p1[x] == p2[x]); } } cv::Mat matSave(width, width, CV_8UC3, mat1.data); cv::imwrite("E:/GitCode/OpenCV_Test/test_images/transpose_fbc.jpg", matSave); cv::imwrite("E:/GitCode/OpenCV_Test/test_images/transpose_cv.jpg", mat1_); cv::Mat matSrc1 = cv::imread("E:/GitCode/OpenCV_Test/test_images/1.jpg", 1); if (!matSrc1.data) { std::cout << "read image fail" << std::endl; return -1; } width = matSrc1.cols; height = matSrc1.rows; fbc::Mat_<uchar, 3> mat2(height, width, matSrc1.data); fbc::Mat_<uchar, 3> mat3(width, height); fbc::transpose(mat2, mat3); cv::Mat mat2_(height, width, CV_8UC3, matSrc1.data); cv::Mat mat3_; cv::transpose(mat2_, mat3_); assert(mat3.rows == mat3_.rows && mat3.cols == mat3_.cols && mat3.step == mat3_.step); for (int y = 0; y < mat3.rows; y++) { const fbc::uchar* p1 = mat3.ptr(y); const uchar* p2 = mat3_.ptr(y); for (int x = 0; x < mat3.step; x++) { assert(p1[x] == p2[x]); } } cv::Mat matSave1(width, height, CV_8UC3, mat3.data); cv::imwrite("E:/GitCode/OpenCV_Test/test_images/transpose1_fbc.jpg", matSave1); cv::imwrite("E:/GitCode/OpenCV_Test/test_images/transpose1_cv.jpg", mat3_); return 0; } int test_transpose_float() { cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/lena.png", 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; cv::Mat matSrc_; cv::resize(matSrc, matSrc_, cv::Size(width, width)); fbc::Mat_<float, 1> mat1(width, width); memcpy(mat1.data, matSrc_.data, width * width * sizeof(float)); fbc::transpose(mat1, mat1); cv::Mat mat1_(width, width, CV_32FC1); memcpy(mat1_.data, matSrc_.data, width * width * sizeof(float)); cv::transpose(mat1_, mat1_); assert(mat1.rows == mat1_.rows && mat1.cols == mat1_.cols && mat1.step == mat1_.step); for (int y = 0; y < mat1.rows; y++) { const fbc::uchar* p1 = mat1.ptr(y); const uchar* p2 = mat1_.ptr(y); for (int x = 0; x < mat1.step; x++) { assert(p1[x] == p2[x]); } } cv::Mat matSrc1 = cv::imread("E:/GitCode/OpenCV_Test/test_images/1.jpg", 1); if (!matSrc1.data) { std::cout << "read image fail" << std::endl; return -1; } cv::cvtColor(matSrc1, matSrc1, CV_BGR2GRAY); matSrc1.convertTo(matSrc1, CV_32FC1); width = matSrc1.cols; height = matSrc1.rows; fbc::Mat_<float, 1> mat2(height, width, matSrc1.data); fbc::Mat_<float, 1> mat3(width, height); fbc::transpose(mat2, mat3); cv::Mat mat2_(height, width, CV_32FC1, matSrc1.data); cv::Mat mat3_; cv::transpose(mat2_, mat3_); assert(mat3.rows == mat3_.rows && mat3.cols == mat3_.cols && mat3.step == mat3_.step); for (int y = 0; y < mat3.rows; y++) { const fbc::uchar* p1 = mat3.ptr(y); const uchar* p2 = mat3_.ptr(y); for (int x = 0; x < mat3.step; x++) { assert(p1[x] == p2[x]); } } return 0; }
GitHub:https://github.com/fengbingchun/OpenCV_Test
OpenCV代码提取:transpose函数的实现的更多相关文章
- 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fli ...
- 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 ...
- tf.transpose函数解析
tf.transpose函数解析 觉得有用的话,欢迎一起讨论相互学习~Follow Me tf.transpose(a, perm = None, name = 'transpose') 解释 将a进 ...
- (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
- 遍历目录树 - Unicode 模式
=info 遍历目录树 支持 Unicode Code by 523066680@163.com 2017-03 V0.5 使用Win32API判断目录硬链接 ...
- 第3次Scrum冲刺
*:first-child { margin-top: 0 !important; } body>*:last-child { margin-bottom: 0 !important; } /* ...
- python接口测试-项目实践(七)脚本优化
七 脚本优化:重复代码的提取成函数:与项目接口相关的都封装到一个类中:添加手工验证脚本,增加输入值的判断逻辑 将所有与该项目接口相关的封装成类 class ProjectApi: #3个数据源接口 d ...
- 设计模式——建造者模式(BuilderPattern)
建造者模式(Builder):将一个复杂对象的构建与它的表示分离,使得同样的构建过程可以创建不同的表示. UML图: Builder: package com.cnblog.clarck; /** * ...
- Error: Error SSL Required Code: 403
Error: Error SSL Required Code: 403 Error Message If the 'services' Web directory for ArcGIS is set ...
- codeforces 597C - Subsequences
枚举子序列的末尾,递推. 方案数:f[i = 以i结尾][k =子序列长度] = sum(f[j][k-1]),j < i. 转移就建立k个BIT. #include<bits/stdc+ ...
- Android(java)学习笔记56:Android InputMethodManager输入法简介
参见博客: http://blog.csdn.net/pi9nc/article/details/9196779
- hihocoder 后缀自动机四·重复旋律6
题目 对于\(k\in[1,n]\)求出长度为\(k\)的子串出现次数最多的出现了多少次 我直到现在才理解后缀自动机上的子树和是什么意思 非常显然的一点是 \[endpos(link(u))⊇endp ...
- Ubuntu连接上海大学校园网(ShuWlan-1x & Shu(For All))
1.连接Shu(For All):直接连接,打开网页后可能会自动弹出登录页面,也可能需要点击浏览器菜单栏下方的跳转按钮. 2.连接ShuWlan-1x配置注意点: 认证方式:Protected EAP ...
- .NET 小程序 wx.getUserInfo(OBJECT) 解密 encryptedData 来获取UnionId
在小程序中通过 wx.getUserInfo 获取用户信息,而UnionId 只有关主了公众号才会返回,不关注公众号想获取UnionId则需要我们从返回的 encryptedData 中解码从而获取U ...