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algHistProc.cpp
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algHistProc.cpp
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#include "algHistProc.h"
AlgHistProc::GetHistImage::GetHistImage(baseImage& image, baseImage& histImage) : image(image), histImage(histImage)
{
}
void AlgHistProc::GetHistImage::apply()
{
cv::Mat* mat = image.GetMat();
cv::MatND hist;
switch (mat->channels()) {
case 1:
{
int histSize[] = {256};
float hRanges[] = {0.0, 255.0};
const float* ranges[] = {hRanges};
const int channels[] = {0};
cv::calcHist(mat, 1, channels, cv::Mat(), hist, 1, histSize, ranges);
double maxVal = 0;
double minVal = 0;
cv::minMaxLoc(hist, &minVal, &maxVal, 0, 0);
cv::Mat histMat(histSize[0], histSize[0], CV_8UC1, cv::Scalar(255));
int hpt = static_cast<int>(0.9 * histSize[0]);
for (int h = 0; h < histSize[0]; h ++)
{
float binVal = hist.at<float>(h);
int intensity = static_cast<int>(binVal * hpt / maxVal);
cv::line(histMat, cv::Point(h, histSize[0]),
cv::Point(h, histSize[0] - intensity),
cv::Scalar(0));
}
histImage.SetMat(histMat);
}
break;
case 3:
case 4:
{
cv::Mat hsv;
if(image.GetChannelChangeState()){
if (mat->channels() == 4)
{
cv::cvtColor(*mat, *mat, CV_RGBA2RGB);
}
cv::cvtColor(*mat, hsv, CV_RGB2HSV);
}else{
if (mat->channels() == 4)
{
cv::cvtColor(*mat, *mat, CV_BGRA2BGR);
}
cv::cvtColor(*mat, hsv, CV_BGR2HSV);
}
std::vector<cv::Mat> v(hsv.channels());
cv::split(hsv, v);
std::vector<cv::Mat> temp(hsv.channels() - 1);
temp[0] = v[0];
temp[1] = v[1];
cv::Mat hs;
cv::merge(temp, hs);
int hbins = 30;
int sbins = 20;
int histSize[] = {hbins, sbins};
float hranges[] = {0, 180};
float sranges[] = {0, 255};
const float* ranges[] = {hranges, sranges};
int channels[] = {0, 1};
cv::MatND hist;
cv::calcHist(&hs, 1, channels, cv::Mat(), hist,
2, histSize, ranges, true, false);
double maxVal;
cv::minMaxLoc(hist, 0, &maxVal, 0, 0);
int height = 360;
int width = (hbins*sbins*1);
cv::Mat histMat(height, width, CV_8UC3, cv::Scalar(0, 0, 0));
cv::Mat hsv_color(1,1,CV_8UC3, cv::Scalar(0,0,0));
cv::Mat rgb_color(1,1,CV_8UC3, cv::Scalar(0,0,0));
int bin_w = width / (hbins * sbins);
for (int h = 0; h < hbins; h++)
{
for (int s = 0; s < sbins; s++)
{
float binVal = hist.at<float>(h,s);
int intensity = cvRound(binVal * 255 / maxVal);
int i = h*sbins + s;
hsv_color.setTo(cv::Scalar(h*180.f / hbins,s*255.f/sbins, 255));
cv::cvtColor(hsv_color,rgb_color,CV_HSV2BGR);
cv::Scalar color(rgb_color.at<cv::Vec3b>(0,0)[0],
rgb_color.at<cv::Vec3b>(0,0)[1],
rgb_color.at<cv::Vec3b>(0,0)[2]);
cv::rectangle(histMat, cv::Point(i*bin_w,height),
cv::Point((i+1)*bin_w,height - intensity),
color, -1);
}
}
histImage.SetMat(histMat);
}
break;
default:
break;
}
}
AlgHistProc::HistEqualize::HistEqualize(baseImage& image) : image(image)
{
}
void AlgHistProc::HistEqualize::apply()
{
cv::Mat* mat = image.GetMat();
std::vector<cv::Mat> v(mat->channels());
cv::split(*mat, v);
for (int i = 0; i < mat->channels(); i++)
{
cv::equalizeHist(v[i], v[i]);
}
cv::merge(v, *mat);
}
AlgHistProc::HistMatch::HistMatch(baseImage& image, float* histMatch) : image(image)
{
this->histMatch = histMatch;
}
void AlgHistProc::HistMatch::apply()
{
cv::Mat* mat = image.GetMat();
unsigned int width = mat->cols;
unsigned int height = mat->rows;
unsigned int channelNum = mat->channels();
std::vector<cv::Mat> v(channelNum);
cv::split(*mat, v);
cv::Mat hist;
int histSize[] = {256};
float hRanges[] = {0.0, 255.0};
const float* ranges[] = {hRanges};
const int channels[] = {0};
for (unsigned int k = 0; k < channelNum; k++)
{
float histMatchAccum[256] = {0.0};
for (int i = 0; i < 256; i++)
{
if (i == 0)
{
histMatchAccum[0] = histMatch[0];
}
else
{
histMatchAccum[i] = histMatchAccum[i - 1] + histMatch[i];
}
}
cv::calcHist(&v[k], 1, channels, cv::Mat(), hist, 1, histSize, ranges);
float histAccum[256] = {0.0};
for (int i = 0; i < 256; i++)
{
if (i == 0)
{
histAccum[0] = hist.at<float>(i);
}
else
{
histAccum[i] = histAccum[i - 1] + hist.at<float>(i);
}
}
int histMap[256] = {};
for (int i = 0; i < 256; i++)
{
int m = 0;
float min_value = 500.0f;
for (int j = 0; j < 256; j++)
{
float now_value = fabs(histMatchAccum[j] - histAccum[i]);
if (now_value < min_value)
{
m = j;
min_value = now_value;
}
}
histMap[i] = (uchar)m;
}
for (unsigned int j = 0; j < height; j++)
{
uchar* data = v[k].ptr<uchar>(j);
for (unsigned int i = 0; i < width; i++)
{
*data = histMap[*data];
data ++;
}
}
}
cv::merge(v, *mat);
}
AlgHistProc::Enhance::Enhance(baseImage& image) : image(image)
{
}
void AlgHistProc::Enhance::apply()
{
cv::Mat* mat = image.GetMat();
unsigned int width = mat->cols;
unsigned int height = mat->rows;
unsigned int channels = mat->channels();
std::vector<cv::Mat> v(channels);
std::vector<double> maxValue(channels);
std::vector<double> minValue(channels);
std::vector<double> enhanceRate(channels);
cv::split(*mat, v);
for (unsigned int k = 0; k < channels; k++)
{
cv::minMaxLoc(v[k], &minValue[k], &maxValue[k]);
enhanceRate[k] = 255 / (maxValue[k] - minValue[k]);
}
for (unsigned int k = 0; k < channels; k++)
{
for (unsigned int j = 0; j < height; j++)
{
uchar* data = v[k].ptr<uchar>(j);
for (unsigned int i = 0; i < width; i++)
{
*data = (*data - minValue[k]) * enhanceRate[k];
data ++;
}
}
}
cv::merge(v, *mat);
}