7. 对一幅灰度图像进行离散余弦变换,用图像的形式显示其变换系数。变换后去掉小于系数最大值60% 、80%、90%的系数,在进行反变换,观察变换前后图像区别。
2016-05-03 09:49
471 查看
#include <cxcore.h> #include <cv.h> #include <highgui.h> void cvDcT(CvArr * src_arr, CvArr * dst_arr) { CvMat * tmp; CvMat q1stub, q2stub; CvMat q3stub, q4stub; CvMat d1stub, d2stub; CvMat d3stub, d4stub; CvMat * q1, *q2, *q3, *q4; CvMat * d1, *d2, *d3, *d4; CvSize size = cvGetSize(src_arr); CvSize dst_size = cvGetSize(dst_arr); int cx, cy; if (dst_size.width != size.width || dst_size.height != size.height){ cvError(CV_StsUnmatchedSizes, "cvShiftDFT", "Source and Destination arrays must have equal sizes", __FILE__, __LINE__); } if (src_arr == dst_arr){ tmp = cvCreateMat(size.height / 2, size.width / 2, cvGetElemType(src_arr)); } cx = size.width / 2; cy = size.height / 2; q1 = cvGetSubRect(src_arr, &q1stub, cvRect(0, 0, cx, cy)); q2 = cvGetSubRect(src_arr, &q2stub, cvRect(cx, 0, cx, cy)); q3 = cvGetSubRect(src_arr, &q3stub, cvRect(cx, cy, cx, cy)); q4 = cvGetSubRect(src_arr, &q4stub, cvRect(0, cy, cx, cy)); d1 = cvGetSubRect(dst_arr, &d1stub, cvRect(0, 0, cx, cy)); d2 = cvGetSubRect(dst_arr, &d2stub, cvRect(cx, 0, cx, cy)); d3 = cvGetSubRect(dst_arr, &d3stub, cvRect(cx, cy, cx, cy)); d4 = cvGetSubRect(dst_arr, &d4stub, cvRect(0, cy, cx, cy)); if (src_arr != dst_arr){ if (!CV_ARE_TYPES_EQ(q1, d1)){ cvError(CV_StsUnmatchedFormats, "cvShiftDFT", "Source and Destination arrays must have the same format", __FILE__, __LINE__); } cvCopy(q3, d1, 0); cvCopy(q4, d2, 0); cvCopy(q1, d3, 0); cvCopy(q2, d4, 0); } else{ cvCopy(q3, tmp, 0); cvCopy(q1, q3, 0); cvCopy(tmp, q1, 0); cvCopy(q4, tmp, 0); cvCopy(q2, q4, 0); cvCopy(tmp, q2, 0); } } int main(int argc, char ** argv) { const char* filename = argc >= 2 ? argv[1] : "2.bmp"; IplImage * im; IplImage * realInput; IplImage * imaginaryInput; IplImage * complexInput; int dft_M, dft_N; CvMat* dft_A, tmp; IplImage * image_Re; IplImage * image_Im; double m, M; im = cvLoadImage("6013202130.bmp", CV_LOAD_IMAGE_GRAYSCALE); if (!im) return -1; realInput = cvCreateImage(cvGetSize(im), IPL_DEPTH_64F, 1); imaginaryInput = cvCreateImage(cvGetSize(im), IPL_DEPTH_64F, 1); complexInput = cvCreateImage(cvGetSize(im), IPL_DEPTH_64F, 2); cvScale(im, realInput, 1.0, 0.0); cvZero(imaginaryInput); cvMerge(realInput, imaginaryInput, NULL, NULL, complexInput); dft_M = cvGetOptimalDFTSize(im->height - 1); dft_N = cvGetOptimalDFTSize(im->width - 1); dft_A = cvCreateMat(dft_M, dft_N, CV_64FC2); image_Re = cvCreateImage(cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1); image_Im = cvCreateImage(cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1); cvGetSubRect(dft_A, &tmp, cvRect(0, 0, im->width, im->height)); cvCopy(complexInput, &tmp, NULL); if (dft_A->cols > im->width) { cvGetSubRect(dft_A, &tmp, cvRect(im->width, 0, dft_A->cols - im->width, im->height)); cvZero(&tmp); } cvDFT(dft_A, dft_A, CV_DXT_FORWARD, complexInput->height); cvNamedWindow("原图6013202130", 0); cvNamedWindow("变换后", 0); cvShowImage("原图6013202130", im); cvSplit(dft_A, image_Re, image_Im, 0, 0); cvPow(image_Re, image_Re, 2.0); cvPow(image_Im, image_Im, 2.0); cvAdd(image_Re, image_Im, image_Re, NULL); cvPow(image_Re, image_Re, 0.5); cvAddS(image_Re, cvScalarAll(1.0), image_Re, NULL); cvLog(image_Re, image_Re); cvDcT(image_Re, image_Re); cvMinMaxLoc(image_Re, &m, &M, NULL, NULL, NULL); cvScale(image_Re, image_Re, 1.0 / (M - m), 1.0*(-m) / (M - m)); cvShowImage("变换后", image_Re); cvWaitKey(-1); return 0; }
相关文章推荐
- 6. 对一幅灰度图像进行离散傅里叶变换,用图像的形式显示其(中心化后的)频谱。改变频谱,在进行 反变换,观察变换前后的区别
- 5. 把一幅彩色图像的H、S、I分量单独显示。
- 关于android增添第三方字体的方法
- 3. 把一幅灰度图像进行旋转。
- 2. 把一幅图像进行平移。
- 1.把一幅灰度图像的垂直分辨率和水平分辨率都变为原来的一半,生成一副新的图像。
- webdriver 执行js
- 2、linux基础知识与技能
- 1092. To Buy or Not to Buy (20)
- 10个你可能不知道的 Android Studio技巧
- 用 _findfirst 和 _findnext 查找文件(转)
- leetcode_2:add two numbers
- perl 操作 timesten 数据库 带用户名和密码验证
- python 2.0 s12 day5
- HBase命令(二) -- 表操作
- 2016年5月02日
- 1、操作系统基础概念
- shell之curl用法笔记
- SIFT原理与源码分析 特征检测 描述子
- 无法定位程序输入点__gxx_personality_v0的一个解决方法