1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 5 // By downloading, copying, installing or using the software you agree to this license. 6 // If you do not agree to this license, do not download, install, 7 // copy or use the software. 8 // 9 // 10 // License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. 14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved. 15 // Third party copyrights are property of their respective owners. 16 // 17 // Redistribution and use in source and binary forms, with or without modification, 18 // are permitted provided that the following conditions are met: 19 // 20 // * Redistribution's of source code must retain the above copyright notice, 21 // this list of conditions and the following disclaimer. 22 // 23 // * Redistribution's in binary form must reproduce the above copyright notice, 24 // this list of conditions and the following disclaimer in the documentation 25 // and/or other materials provided with the distribution. 26 // 27 // * The name of the copyright holders may not be used to endorse or promote products 28 // derived from this software without specific prior written permission. 29 // 30 // This software is provided by the copyright holders and contributors "as is" and 31 // any express or implied warranties, including, but not limited to, the implied 32 // warranties of merchantability and fitness for a particular purpose are disclaimed. 33 // In no event shall the Intel Corporation or contributors be liable for any direct, 34 // indirect, incidental, special, exemplary, or consequential damages 35 // (including, but not limited to, procurement of substitute goods or services; 36 // loss of use, data, or profits; or business interruption) however caused 37 // and on any theory of liability, whether in contract, strict liability, 38 // or tort (including negligence or otherwise) arising in any way out of 39 // the use of this software, even if advised of the possibility of such damage. 40 // 41 //M*/ 42 43 #ifndef __OPENCV_TEST_INTERPOLATION_HPP__ 44 #define __OPENCV_TEST_INTERPOLATION_HPP__ 45 46 #include "opencv2/core.hpp" 47 #include "opencv2/imgproc.hpp" 48 49 template <typename T> T readVal(const cv::Mat& src, int y, int x, int c, int border_type, cv::Scalar borderVal = cv::Scalar()) 50 { 51 if (border_type == cv::BORDER_CONSTANT) 52 return (y >= 0 && y < src.rows && x >= 0 && x < src.cols) ? src.at<T>(y, x * src.channels() + c) : cv::saturate_cast<T>(borderVal.val[c]); 53 54 return src.at<T>(cv::borderInterpolate(y, src.rows, border_type), cv::borderInterpolate(x, src.cols, border_type) * src.channels() + c); 55 } 56 57 template <typename T> struct NearestInterpolator 58 { 59 static T getValue(const cv::Mat& src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar()) 60 { 61 return readVal<T>(src, int(y), int(x), c, border_type, borderVal); 62 } 63 }; 64 65 template <typename T> struct LinearInterpolator 66 { 67 static T getValue(const cv::Mat& src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar()) 68 { 69 int x1 = cvFloor(x); 70 int y1 = cvFloor(y); 71 int x2 = x1 + 1; 72 int y2 = y1 + 1; 73 74 float res = 0; 75 76 res += readVal<T>(src, y1, x1, c, border_type, borderVal) * ((x2 - x) * (y2 - y)); 77 res += readVal<T>(src, y1, x2, c, border_type, borderVal) * ((x - x1) * (y2 - y)); 78 res += readVal<T>(src, y2, x1, c, border_type, borderVal) * ((x2 - x) * (y - y1)); 79 res += readVal<T>(src, y2, x2, c, border_type, borderVal) * ((x - x1) * (y - y1)); 80 81 return cv::saturate_cast<T>(res); 82 } 83 }; 84 85 template <typename T> struct CubicInterpolator 86 { 87 static float bicubicCoeff(float x_) 88 { 89 float x = fabsf(x_); 90 if (x <= 1.0f) 91 { 92 return x * x * (1.5f * x - 2.5f) + 1.0f; 93 } 94 else if (x < 2.0f) 95 { 96 return x * (x * (-0.5f * x + 2.5f) - 4.0f) + 2.0f; 97 } 98 else 99 { 100 return 0.0f; 101 } 102 } 103 104 static T getValue(const cv::Mat& src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar()) 105 { 106 const float xmin = ceilf(x - 2.0f); 107 const float xmax = floorf(x + 2.0f); 108 109 const float ymin = ceilf(y - 2.0f); 110 const float ymax = floorf(y + 2.0f); 111 112 float sum = 0.0f; 113 float wsum = 0.0f; 114 115 for (float cy = ymin; cy <= ymax; cy += 1.0f) 116 { 117 for (float cx = xmin; cx <= xmax; cx += 1.0f) 118 { 119 const float w = bicubicCoeff(x - cx) * bicubicCoeff(y - cy); 120 sum += w * readVal<T>(src, (int) floorf(cy), (int) floorf(cx), c, border_type, borderVal); 121 wsum += w; 122 } 123 } 124 125 float res = (!wsum)? 0 : sum / wsum; 126 127 return cv::saturate_cast<T>(res); 128 } 129 }; 130 131 #endif // __OPENCV_TEST_INTERPOLATION_HPP__ 132