source: trunk/saliency_detection/src/saliencyDetectionHou.cpp @ 48

Last change on this file since 48 was 10, checked in by wcaarls, 12 years ago

Imported saliency_detection at revision 1000

File size: 3.9 KB
Line 
1//===================================================================================
2// Name        : saliencyDetectionHou.cpp
3// Author      : Oytun Akman, oytunakman@gmail.com
4// Editor          : Joris van de Weem, joris.vdweem@gmail.com (Conversion to ROS)
5// Version     : 1.2
6// Copyright   : Copyright (c) 2010 LGPL
7// Description : C++ implementation of "Saliency Detection: A Spectral Residual
8//                               Approach" by Xiaodi Hou and Liqing Zhang (CVPR 2007).                                                                                           
9//===================================================================================
10// v1.1: Changed Gaussianblur of logamplitude to averaging blur and gaussian kernel of saliency map to sigma = 8, kernelsize = 5
11//      for better consistency with the paper. (Joris)
12// v1.2: Ported to Robot Operating System (ROS) (Joris)
13
14#include <saliency_detection/saliencyDetectionHou.h>
15
16
17void saliencyMapHou::imageCB(const sensor_msgs::ImageConstPtr& msg_ptr)
18{
19        cv_bridge::CvImagePtr cv_ptr;
20        sensor_msgs::Image salmap_;
21        geometry_msgs::Point salientpoint_;
22
23        Mat image_, saliencymap_;
24        Point pt_salient;
25        double maxVal;
26
27        try
28        {
29                cv_ptr = cv_bridge::toCvCopy(msg_ptr, enc::BGR8);
30        }
31        catch (cv_bridge::Exception& e)
32        {
33                ROS_ERROR("cv_bridge exception: %s", e.what());
34        }
35        cv_ptr->image.copyTo(image_);
36
37        saliencymap_.create(image_.size(),CV_8UC1);
38        saliencyMapHou::calculateSaliencyMap(&image_, &saliencymap_);
39
40        //-- Return most salient point --//
41        cv::minMaxLoc(saliencymap_,NULL,&maxVal,NULL,&pt_salient);
42        salientpoint_.x = pt_salient.x;
43        salientpoint_.y = pt_salient.y;
44
45
46        //      CONVERT FROM CV::MAT TO ROSIMAGE FOR PUBLISHING
47        saliencymap_.convertTo(saliencymap_, CV_8UC1,255);
48        fillImage(salmap_, "mono8",saliencymap_.rows, saliencymap_.cols, saliencymap_.step, const_cast<uint8_t*>(saliencymap_.data));
49
50        saliencymap_pub_.publish(salmap_);
51        point_pub_.publish(salientpoint_);
52
53        return;
54}
55
56
57void saliencyMapHou::calculateSaliencyMap(const Mat* src, Mat* dst)
58{
59        Mat grayTemp, grayDown;
60        vector<Mat> mv;
61        //Size imageSize(160,120);
62        Size imageSize(64,64);
63        Mat realImage(imageSize,CV_64F);
64        Mat imaginaryImage(imageSize,CV_64F); imaginaryImage.setTo(0);
65        Mat combinedImage(imageSize,CV_64FC2);
66        Mat imageDFT;   
67        Mat logAmplitude;
68        Mat angle(imageSize,CV_64F);
69        Mat magnitude(imageSize,CV_64F);
70        Mat logAmplitude_blur;
71       
72        cvtColor(*src, grayTemp, CV_BGR2GRAY);
73        resize(grayTemp, grayDown, imageSize, 0, 0, INTER_LINEAR);
74        for(int j=0; j<grayDown.rows;j++)
75        for(int i=0; i<grayDown.cols; i++)
76                realImage.at<double>(j,i) = grayDown.at<uchar>(j,i);
77                       
78        mv.push_back(realImage);
79        mv.push_back(imaginaryImage);   
80        merge(mv,combinedImage);       
81        dft( combinedImage, imageDFT);
82        split(imageDFT, mv);   
83
84        //-- Get magnitude and phase of frequency spectrum --//
85        cartToPolar(mv.at(0), mv.at(1), magnitude, angle, false);
86        log(magnitude,logAmplitude);   
87        //-- Blur log amplitude with averaging filter --//
88        blur(logAmplitude, logAmplitude_blur, Size(3,3), Point(-1,-1), BORDER_DEFAULT);
89       
90        exp(logAmplitude - logAmplitude_blur,magnitude);
91        //-- Back to cartesian frequency domain --//
92        polarToCart(magnitude, angle, mv.at(0), mv.at(1), false);
93        merge(mv, imageDFT);
94        dft( imageDFT, combinedImage, CV_DXT_INVERSE);
95        split(combinedImage, mv);
96
97        cartToPolar(mv.at(0), mv.at(1), magnitude, angle, false);
98        GaussianBlur(magnitude, magnitude, Size(5,5), 8, 0, BORDER_DEFAULT);
99        magnitude = magnitude.mul(magnitude);
100
101        double minVal,maxVal;
102        minMaxLoc(magnitude, &minVal, &maxVal);
103        magnitude = magnitude / maxVal;
104
105        Mat tempFloat(imageSize,CV_32F);
106        for(int j=0; j<magnitude.rows;j++)
107        for(int i=0; i<magnitude.cols; i++)
108                tempFloat.at<float>(j,i) = magnitude.at<double>(j,i);
109
110        resize(tempFloat, *dst, dst->size(), 0, 0, INTER_LINEAR);
111}
112
113int main(int argc, char **argv)
114{
115        ros::init(argc, argv, "saliencymap");
116
117        saliencyMapHou salmapHou;
118
119        ros::spin();
120
121        return 0;
122}
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