Reworked RawImage class to use OpenCV
This commit is contained in:
+3
-3
@@ -47,7 +47,7 @@ QPixmap Image::pixmap() const
|
||||
return m_pixmap;
|
||||
}
|
||||
|
||||
RawImageAbs *Image::rawImage()
|
||||
RawImage *Image::rawImage()
|
||||
{
|
||||
return m_rawImage.get();
|
||||
}
|
||||
@@ -68,13 +68,13 @@ void Image::imageLoaded(QImage img, void *rawImage, ImageInfoData info)
|
||||
if(!m_released)
|
||||
{
|
||||
m_pixmap = QPixmap::fromImage(img);
|
||||
m_rawImage.reset(static_cast<RawImageAbs*>(rawImage));
|
||||
m_rawImage.reset(static_cast<RawImage*>(rawImage));
|
||||
m_info = info;
|
||||
emit pixmapLoaded(this);
|
||||
}
|
||||
else
|
||||
{
|
||||
delete static_cast<RawImageAbs*>(rawImage);
|
||||
delete static_cast<RawImage*>(rawImage);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
+2
-2
@@ -18,7 +18,7 @@ class Image : public QObject
|
||||
bool m_released;
|
||||
bool m_current;
|
||||
QPixmap m_pixmap;
|
||||
std::unique_ptr<RawImageAbs> m_rawImage;
|
||||
std::unique_ptr<RawImage> m_rawImage;
|
||||
QString m_name;
|
||||
ImageInfoData m_info;
|
||||
ImageRingList *m_ringList;
|
||||
@@ -28,7 +28,7 @@ public:
|
||||
void release();
|
||||
QString name() const;
|
||||
QPixmap pixmap() const;
|
||||
RawImageAbs* rawImage();
|
||||
RawImage* rawImage();
|
||||
ImageInfoData info() const;
|
||||
bool isCurrent() const;
|
||||
signals:
|
||||
|
||||
+25
-12
@@ -3,6 +3,7 @@
|
||||
#include <QDebug>
|
||||
#include <QKeyEvent>
|
||||
#include <QOpenGLDebugLogger>
|
||||
#include <QOpenGLPixelTransferOptions>
|
||||
|
||||
ImageScrollAreaGL::ImageScrollAreaGL(QWidget *parent) : QOpenGLWidget(parent)
|
||||
{
|
||||
@@ -17,32 +18,41 @@ ImageScrollAreaGL::~ImageScrollAreaGL()
|
||||
makeCurrent();
|
||||
}
|
||||
|
||||
void ImageScrollAreaGL::setImage(RawImageAbs *image)
|
||||
void ImageScrollAreaGL::setImage(RawImage *image)
|
||||
{
|
||||
if(image == nullptr)return;
|
||||
|
||||
m_image->destroy();
|
||||
m_image->setFormat(QOpenGLTexture::R16_UNorm);
|
||||
m_image->setSize(image->width(), image->height());
|
||||
m_image->setMinMagFilters(QOpenGLTexture::LinearMipMapLinear, QOpenGLTexture::Linear);
|
||||
m_image->allocateStorage();
|
||||
if(RawImage<uint8_t> *i8 = dynamic_cast<RawImage<uint8_t>*>(image))
|
||||
switch(image->type())
|
||||
{
|
||||
m_image->setData(QOpenGLTexture::Red, QOpenGLTexture::UInt8, i8->data());
|
||||
case RawImage::UINT8:
|
||||
m_image->setData(0, QOpenGLTexture::Red, QOpenGLTexture::UInt8, image->data(), m_transferOptions.get());
|
||||
m_range = UINT8_MAX;
|
||||
}
|
||||
else if(RawImage<uint16_t> *i16 = dynamic_cast<RawImage<uint16_t>*>(image))
|
||||
{
|
||||
m_image->setData(QOpenGLTexture::Red, QOpenGLTexture::UInt16, i16->data());
|
||||
break;
|
||||
case RawImage::UINT16:
|
||||
m_image->setData(0, QOpenGLTexture::Red, QOpenGLTexture::UInt16, image->data(), m_transferOptions.get());
|
||||
m_range = UINT16_MAX;
|
||||
}
|
||||
else if(RawImage<uint32_t> *i32 = dynamic_cast<RawImage<uint32_t>*>(image))
|
||||
{
|
||||
m_image->setData(QOpenGLTexture::Red, QOpenGLTexture::UInt32, i32->data());
|
||||
m_range = UINT32_MAX;
|
||||
break;
|
||||
case RawImage::FLOAT32:
|
||||
break;
|
||||
}
|
||||
m_image->generateMipMaps();
|
||||
repaint();
|
||||
}
|
||||
|
||||
void ImageScrollAreaGL::setImage(const QPixmap &pixmap)
|
||||
{
|
||||
QImage img = pixmap.toImage();
|
||||
|
||||
m_image->destroy();
|
||||
m_image->setData(img);
|
||||
repaint();
|
||||
}
|
||||
|
||||
void ImageScrollAreaGL::setLow(int low)
|
||||
{
|
||||
m_low = low/m_range;
|
||||
@@ -127,4 +137,7 @@ void ImageScrollAreaGL::initializeGL()
|
||||
m_image->bind(0);
|
||||
m_image->setMinificationFilter(QOpenGLTexture::LinearMipMapLinear);
|
||||
m_image->setMagnificationFilter(QOpenGLTexture::Linear);
|
||||
|
||||
m_transferOptions = std::unique_ptr<QOpenGLPixelTransferOptions>(new QOpenGLPixelTransferOptions);
|
||||
m_transferOptions->setAlignment(1);
|
||||
}
|
||||
|
||||
+3
-1
@@ -28,6 +28,7 @@ class ImageScrollAreaGL : public QOpenGLWidget
|
||||
std::unique_ptr<QOpenGLBuffer> m_buffer;
|
||||
std::unique_ptr<QOpenGLTexture> m_image;
|
||||
std::unique_ptr<QOpenGLVertexArrayObject> m_vao;
|
||||
std::unique_ptr<QOpenGLPixelTransferOptions> m_transferOptions;
|
||||
int m_width, m_height;
|
||||
float m_low;
|
||||
float m_high;
|
||||
@@ -35,7 +36,8 @@ class ImageScrollAreaGL : public QOpenGLWidget
|
||||
public:
|
||||
explicit ImageScrollAreaGL(QWidget *parent = nullptr);
|
||||
~ImageScrollAreaGL();
|
||||
void setImage(RawImageAbs *image);
|
||||
void setImage(RawImage *image);
|
||||
void setImage(const QPixmap &pixmap);
|
||||
public slots:
|
||||
void setLow(int low);
|
||||
void setHigh(int high);
|
||||
|
||||
+24
-11
@@ -75,7 +75,7 @@ void printStarModel(int radius, const std::vector<double> &data, const Star &sta
|
||||
std::cout << m.toStdString() << std::endl << std::endl;
|
||||
}
|
||||
|
||||
bool loadRAW(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qimage)
|
||||
bool loadRAW(QString path, ImageInfoData &info, RawImage **image, QImage *qimage)
|
||||
{
|
||||
if(!image && !qimage)
|
||||
return false;
|
||||
@@ -108,7 +108,8 @@ bool loadRAW(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qi
|
||||
out[d++] = p;
|
||||
}
|
||||
}
|
||||
*image = new RawImage<uint16_t>(rawdata.sizes.width, rawdata.sizes.height, out);
|
||||
*image = new RawImage(rawdata.sizes.width, rawdata.sizes.height, RawImage::UINT16);
|
||||
memcpy((*image)->data(), &out[0], sizeof(uint16_t)*w*h);
|
||||
}
|
||||
|
||||
if(qimage)
|
||||
@@ -143,7 +144,7 @@ bool loadRAW(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qi
|
||||
return true;
|
||||
}
|
||||
|
||||
bool loadFITS(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qimage)
|
||||
bool loadFITS(QString path, ImageInfoData &info, RawImage **image, QImage *qimage)
|
||||
{
|
||||
if(!image && !qimage)
|
||||
return false;
|
||||
@@ -188,7 +189,11 @@ bool loadFITS(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qi
|
||||
for(size_t i=0; i<h; i++)
|
||||
memcpy(qimage->scanLine(i), &bits8[i*w], w*sizeof(uint8_t));
|
||||
}
|
||||
if(image)*image = new RawImage<uint8_t>(naxes[0], naxes[1], bits8);
|
||||
if(image)
|
||||
{
|
||||
*image = new RawImage(naxes[0], naxes[1], RawImage::UINT8);
|
||||
memcpy((*image)->data(), &bits8[0], sizeof(uint8_t)*h*w);
|
||||
}
|
||||
break;
|
||||
case SHORT_IMG:
|
||||
bits16.resize(size);
|
||||
@@ -203,10 +208,14 @@ bool loadFITS(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qi
|
||||
scanline[o] = bits16[i*w+o] >> 8;
|
||||
}
|
||||
}
|
||||
if(image)*image = new RawImage<uint16_t>(naxes[0], naxes[1], bits16);
|
||||
if(image)
|
||||
{
|
||||
*image = new RawImage(naxes[0], naxes[1], RawImage::UINT16);
|
||||
memcpy((*image)->data(), &bits16[0], sizeof(uint16_t)*h*w);
|
||||
}
|
||||
break;
|
||||
case LONG_IMG:
|
||||
bits32.resize(size);
|
||||
/*bits32.resize(size);
|
||||
fits_read_pix(file, TUINT, fpixel, size, NULL, &bits32[0], NULL, &status);
|
||||
if(status)break;
|
||||
if(qimage)
|
||||
@@ -218,7 +227,11 @@ bool loadFITS(QString path, ImageInfoData &info, RawImageAbs **image, QImage *qi
|
||||
scanline[o] = bits32[i*w+o] >> 24;
|
||||
}
|
||||
}
|
||||
if(image)*image = new RawImage<uint32_t>(naxes[0], naxes[1], bits32);
|
||||
if(image)
|
||||
{
|
||||
*image = new RawImage(naxes[0], naxes[1], RawImage::FLOAT32);
|
||||
memcpy((*image)->data(), &bits8[0], sizeof(uint32_t)*h*w);
|
||||
}*/
|
||||
break;
|
||||
}
|
||||
}
|
||||
@@ -259,7 +272,7 @@ void LoadRunable::run()
|
||||
info.append(StringPair(QObject::tr("Filename"), finfo.fileName()));
|
||||
|
||||
QImage img;
|
||||
RawImageAbs *rawImage = nullptr;
|
||||
RawImage *rawImage = nullptr;
|
||||
bool raw = false;
|
||||
if(m_file.endsWith(".CR2", Qt::CaseInsensitive))
|
||||
{
|
||||
@@ -288,7 +301,7 @@ void LoadRunable::run()
|
||||
|
||||
if(rawImage && m_analyzeLevel >= Statistics)
|
||||
{
|
||||
uint64_t mean, median, min, max;
|
||||
double mean, median, min, max;
|
||||
double stdDev;
|
||||
timer.start();
|
||||
rawImage->imageStats(&mean, &stdDev, &median, &min, &max);
|
||||
@@ -306,9 +319,9 @@ void LoadRunable::run()
|
||||
rawImage->quarter();
|
||||
qDebug() << "quarter" << timer.restart();
|
||||
}
|
||||
RawImageAbs *medianImage = rawImage->medianFilter();
|
||||
RawImage *medianImage = rawImage->medianFilter();
|
||||
qDebug() << "median" << timer.restart();
|
||||
int numPeaks = medianImage->findPeaks(median+stdDev, 20, peaks);
|
||||
int numPeaks = medianImage->findPeaks(median+stdDev*2, 20, peaks);
|
||||
delete medianImage;
|
||||
qDebug() << "peaks" << timer.restart();
|
||||
if(m_analyzeLevel == Peaks)
|
||||
|
||||
+9
-2
@@ -27,7 +27,7 @@ int MainWindow::socketPair[2] = {0, 0};
|
||||
MainWindow::MainWindow(QWidget *parent) : QMainWindow(parent)
|
||||
{
|
||||
qRegisterMetaType<ImageInfoData>("ImageInfoData");
|
||||
qRegisterMetaType<RawImageAbs*>("RawImageAbs");
|
||||
qRegisterMetaType<RawImage*>("RawImage");
|
||||
|
||||
m_info = new ImageInfo(this);
|
||||
QDockWidget *infoDock = new QDockWidget(tr("Image info"), this);
|
||||
@@ -206,7 +206,14 @@ void MainWindow::socketNotify()
|
||||
void MainWindow::pixmapLoaded(Image *image)
|
||||
{
|
||||
m_image->setImage(image->pixmap());
|
||||
m_imageGL->setImage(image->rawImage());
|
||||
if(image->rawImage())
|
||||
{
|
||||
m_imageGL->setImage(image->rawImage());
|
||||
}
|
||||
else
|
||||
{
|
||||
m_imageGL->setImage(image->pixmap());
|
||||
}
|
||||
}
|
||||
|
||||
void MainWindow::openFile()
|
||||
|
||||
+171
@@ -0,0 +1,171 @@
|
||||
#include "rawimage.h"
|
||||
#include <QDebug>
|
||||
#include <opencv2/highgui.hpp>
|
||||
|
||||
RawImage::ImgType CV2Type(int cvtype)
|
||||
{
|
||||
switch (cvtype)
|
||||
{
|
||||
case CV_8U:
|
||||
return RawImage::UINT8;
|
||||
case CV_16U:
|
||||
return RawImage::UINT16;
|
||||
case CV_32F:
|
||||
return RawImage::FLOAT32;
|
||||
default:
|
||||
return RawImage::UNKNOWN;
|
||||
}
|
||||
}
|
||||
|
||||
int Type2CV(RawImage::ImgType type)
|
||||
{
|
||||
switch (type)
|
||||
{
|
||||
case RawImage::UINT8:
|
||||
return CV_8U;
|
||||
case RawImage::UINT16:
|
||||
return CV_16U;
|
||||
case RawImage::FLOAT32:
|
||||
return CV_32F;
|
||||
case RawImage::UNKNOWN:
|
||||
return CV_8S;
|
||||
}
|
||||
}
|
||||
|
||||
RawImage::RawImage()
|
||||
{
|
||||
}
|
||||
|
||||
RawImage::RawImage(int w, int h, ImgType type)
|
||||
{
|
||||
m_img.create(h, w, Type2CV(type));
|
||||
}
|
||||
|
||||
RawImage::RawImage(const RawImage &d)
|
||||
{
|
||||
d.m_img.copyTo(m_img);
|
||||
}
|
||||
|
||||
bool RawImage::imageStats(double *mean, double *stdDev, double *median, double *min, double *max) const
|
||||
{
|
||||
cv::Scalar meanS, stdDevS;
|
||||
|
||||
qDebug() << m_img.type();
|
||||
cv::meanStdDev(m_img, meanS, stdDevS);
|
||||
if(min && max)cv::minMaxIdx(m_img, min, max);
|
||||
|
||||
int histSize = 256;
|
||||
if(m_img.type() == CV_16U || m_img.type() == CV_32F)histSize = 65536;
|
||||
float range[] = {0, (float)histSize};
|
||||
const float *ranges[] = {range};
|
||||
cv::Mat hist;
|
||||
cv::calcHist(&m_img, 1, nullptr, cv::Mat(), hist, 1, &histSize, ranges);
|
||||
|
||||
if(mean)*mean = meanS[0];
|
||||
if(stdDev)*stdDev = stdDevS[0];
|
||||
size_t halfImageSize = size()/2;
|
||||
if(median)
|
||||
{
|
||||
size_t medianSum = 0;
|
||||
for(int i=0; i < histSize; i++)
|
||||
{
|
||||
medianSum += hist.at<float>(0, i);
|
||||
if(medianSum >= halfImageSize)
|
||||
{
|
||||
*median = i;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
void RawImage::rect(int &x, int &y, int w, int h, std::vector<double> &r) const
|
||||
{
|
||||
r.resize(w*h);
|
||||
x -= w/2;
|
||||
y -= h/2;
|
||||
if(x<0)x = 0;
|
||||
if(y<0)y = 0;
|
||||
if(x+w >= m_img.cols)x = m_img.cols-w;
|
||||
if(y+h >= m_img.rows)y = m_img.rows-h;
|
||||
cv::Mat roiImg(m_img, cv::Rect(x, y, w, h));
|
||||
cv::Mat doubleMat;
|
||||
roiImg.convertTo(doubleMat, CV_64F);
|
||||
r = std::vector<double>(doubleMat.begin<double>(), doubleMat.end<double>());
|
||||
}
|
||||
|
||||
int RawImage::findPeaks(double background, double distance, std::vector<Peak> &peaks) const
|
||||
{
|
||||
std::vector<std::vector<cv::Point>> contours;
|
||||
|
||||
cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(distance, distance));
|
||||
|
||||
cv::Mat mask, dilate, locMax, result;
|
||||
cv::dilate(m_img, dilate, kernel);
|
||||
cv::compare(m_img, dilate, locMax, cv::CMP_GE);
|
||||
cv::compare(m_img, cv::Scalar(background), mask, cv::CMP_GT);
|
||||
cv::bitwise_and(locMax, mask, result);
|
||||
|
||||
cv::findContours(result, contours, cv::noArray(), cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
|
||||
peaks.reserve(contours.size());
|
||||
for(auto contour : contours)
|
||||
{
|
||||
peaks.push_back(Peak(1, contour[0].x, contour[0].y));
|
||||
}
|
||||
|
||||
return peaks.size();
|
||||
}
|
||||
|
||||
RawImage* RawImage::medianFilter() const
|
||||
{
|
||||
RawImage *ret = new RawImage();
|
||||
cv::medianBlur(m_img, ret->m_img, 3);
|
||||
return ret;
|
||||
}
|
||||
|
||||
void RawImage::quarter()
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
uint32_t RawImage::width() const
|
||||
{
|
||||
return m_img.cols;
|
||||
}
|
||||
|
||||
uint32_t RawImage::height() const
|
||||
{
|
||||
return m_img.rows;
|
||||
}
|
||||
|
||||
uint32_t RawImage::size() const
|
||||
{
|
||||
return width()*height();
|
||||
}
|
||||
|
||||
RawImage::ImgType RawImage::type() const
|
||||
{
|
||||
switch(m_img.type())
|
||||
{
|
||||
case CV_8U:
|
||||
return UINT8;
|
||||
case CV_16U:
|
||||
return UINT16;
|
||||
case CV_32F:
|
||||
return FLOAT32;
|
||||
default:
|
||||
return UNKNOWN;
|
||||
}
|
||||
}
|
||||
|
||||
void* RawImage::data()
|
||||
{
|
||||
return m_img.ptr();
|
||||
}
|
||||
|
||||
const void *RawImage::data() const
|
||||
{
|
||||
return m_img.ptr();
|
||||
}
|
||||
+23
-194
@@ -6,6 +6,7 @@
|
||||
#include <stdint.h>
|
||||
#include <math.h>
|
||||
#include <memory.h>
|
||||
#include <opencv2/imgproc.hpp>
|
||||
|
||||
class Peak
|
||||
{
|
||||
@@ -29,204 +30,32 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
class RawImageAbs
|
||||
class RawImage
|
||||
{
|
||||
protected:
|
||||
uint32_t m_width,m_height;
|
||||
cv::Mat m_img;
|
||||
public:
|
||||
virtual ~RawImageAbs(){}
|
||||
virtual bool imageStats(uint64_t *mean, double *stdDev, uint64_t *median, uint64_t *min, uint64_t *max) const = 0;
|
||||
virtual void rect(int &x, int &y, int w, int h, std::vector<double> &r) const = 0;
|
||||
virtual int findPeaks(uint64_t background, double distance, std::vector<Peak> &peaks) const = 0;
|
||||
virtual RawImageAbs* medianFilter() const = 0;
|
||||
virtual void quarter() = 0;
|
||||
uint32_t width() const
|
||||
enum ImgType
|
||||
{
|
||||
return m_width;
|
||||
}
|
||||
uint32_t height() const
|
||||
{
|
||||
return m_height;
|
||||
}
|
||||
};
|
||||
|
||||
template<typename T>
|
||||
class RawImage : public RawImageAbs
|
||||
{
|
||||
std::vector<T> m_img;
|
||||
bool checkPixel(T c, uint32_t x, uint32_t y) const
|
||||
{
|
||||
T d = pixel(x, y);
|
||||
return c>=d;
|
||||
}
|
||||
public:
|
||||
RawImage()
|
||||
{
|
||||
m_width = m_height = 0;
|
||||
}
|
||||
RawImage(int w, int h)
|
||||
{
|
||||
m_width = w;
|
||||
m_height = h;
|
||||
m_img.resize(w*h);
|
||||
}
|
||||
RawImage(int w, int h, std::vector<T> &img)
|
||||
{
|
||||
m_width = w;
|
||||
m_height = h;
|
||||
img.resize(w*h);
|
||||
m_img = std::move(img);
|
||||
img.clear();
|
||||
}
|
||||
T* data()
|
||||
{
|
||||
return m_img.data();
|
||||
}
|
||||
std::vector<T> dataArray() const
|
||||
{
|
||||
return m_img;
|
||||
}
|
||||
bool imageStats(uint64_t *mean, double *stdDev, uint64_t *median, uint64_t *min, uint64_t *max) const
|
||||
{
|
||||
if(m_img.size()==0)return false;
|
||||
|
||||
uint64_t sum = 0;
|
||||
uint64_t sqrSum = 0;
|
||||
uint64_t tMin = UINT64_MAX;
|
||||
uint64_t tMax = 0;
|
||||
uint32_t histogram[65536];
|
||||
memset(histogram, 0, sizeof(histogram));
|
||||
const int shift = sizeof(T)>2 ? sizeof(T)*8 - 16 : 0;
|
||||
|
||||
for(T i : m_img)
|
||||
{
|
||||
sum += i;
|
||||
sqrSum += i*i;
|
||||
tMin = tMin>i ? i : tMin;
|
||||
tMax = tMax<i ? i : tMax;
|
||||
histogram[i>>shift]++;
|
||||
}
|
||||
|
||||
if(mean)*mean = sum/m_img.size();
|
||||
if(min)*min = tMin;
|
||||
if(max)*max = tMax;
|
||||
if(stdDev)*stdDev = sqrt((sqrSum - (double)sum*sum/m_img.size()) / (double)(m_img.size()-1));
|
||||
|
||||
|
||||
if(median)
|
||||
{
|
||||
size_t medianSum = 0;
|
||||
for(int i=0;i<65536;i++)
|
||||
{
|
||||
medianSum += histogram[i];
|
||||
if(medianSum>=m_img.size()/2)
|
||||
{
|
||||
*median = i;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
T pixel(uint32_t x, uint32_t y) const
|
||||
{
|
||||
if(x>=m_width)x=0;
|
||||
if(y>=m_height)y=0;
|
||||
return m_img[y*m_width+x];
|
||||
}
|
||||
void rect(int &x, int &y, int w, int h, std::vector<double> &r) const
|
||||
{
|
||||
r.resize(w*h);
|
||||
x -= w/2;
|
||||
y -= h/2;
|
||||
if(x<0)x = 0;
|
||||
if(y<0)y = 0;
|
||||
if(x+w >= m_width)x = m_width-w;
|
||||
if(y+h >= m_height)y = m_height-h;
|
||||
uint32_t d = 0;
|
||||
for(int i=y;i<y+h;i++)
|
||||
for(int o=x;o<x+w;o++)
|
||||
r[d++] = pixel(o, i);
|
||||
}
|
||||
int findPeaks(uint64_t background, double distance, std::vector<Peak> &peaks) const
|
||||
{
|
||||
std::vector<Peak> tmpPeaks;
|
||||
const int r = 1;
|
||||
for(uint32_t i=r; i<m_height-r; i++)
|
||||
{
|
||||
for(uint32_t o=r; o<m_width-r; o++)
|
||||
{
|
||||
T c = pixel(o, i);
|
||||
if(c>background && checkPixel(c, o-r, i-r) && checkPixel(c, o, i-r) &&
|
||||
checkPixel(c, o+r, i-r) && checkPixel(c, o-r, i) && checkPixel(c, o+r, i)
|
||||
&& checkPixel(c, o-r, i+r) && checkPixel(c, o, i+r) && checkPixel(c, o+r, i+r))
|
||||
{
|
||||
tmpPeaks.push_back(Peak(c, o, i));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
int num = tmpPeaks.size();
|
||||
std::sort(tmpPeaks.begin(), tmpPeaks.end());
|
||||
tmpPeaks.resize(std::min(num, 10000));
|
||||
uint32_t d = distance*distance;
|
||||
for(const Peak &p : tmpPeaks)
|
||||
{
|
||||
bool pass = true;
|
||||
for(const Peak &k : peaks)
|
||||
{
|
||||
if(p.distance(k) < d)
|
||||
{
|
||||
pass = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if(pass)
|
||||
{
|
||||
peaks.push_back(p);
|
||||
}
|
||||
}
|
||||
return num;
|
||||
}
|
||||
RawImageAbs* medianFilter() const
|
||||
{
|
||||
RawImage<T> *ret = new RawImage<T>;
|
||||
std::vector<T> tmp;
|
||||
tmp.resize(m_width*m_height);
|
||||
#pragma omp parallel for
|
||||
for(uint32_t y=0;y<m_height;y++)
|
||||
{
|
||||
for(uint32_t x=0;x<m_width;x++)
|
||||
{
|
||||
T array[9] = { pixel(x-1, y-1), pixel(x, y-1), pixel(x+1, y-1),
|
||||
pixel(x-1, y), pixel(x, y), pixel(x+1, y),
|
||||
pixel(x-1, y+1), pixel(x, y+1), pixel(x+1, y+1)};
|
||||
std::nth_element(std::begin(array), array+4, std::end(array));
|
||||
tmp[y*m_width+x] = array[4];
|
||||
}
|
||||
}
|
||||
ret->m_width = m_width;
|
||||
ret->m_height = m_height;
|
||||
ret->m_img = std::move(tmp);
|
||||
return ret;
|
||||
}
|
||||
void quarter()
|
||||
{
|
||||
std::vector<T> tmp;
|
||||
tmp.resize(m_width*m_height);
|
||||
uint32_t d = 0;
|
||||
for(uint32_t i=0;i<m_height;i+=2)
|
||||
{
|
||||
for(uint32_t o=0;o<m_width;o+=2)
|
||||
{
|
||||
tmp[d++] = m_img[i*m_width+o];
|
||||
}
|
||||
}
|
||||
m_img = tmp;
|
||||
m_width /= 2;
|
||||
m_height /= 2;
|
||||
}
|
||||
UINT8,
|
||||
UINT16,
|
||||
FLOAT32,
|
||||
UNKNOWN,
|
||||
};
|
||||
RawImage();
|
||||
RawImage(int w, int h, ImgType type);
|
||||
RawImage(const RawImage &d);
|
||||
bool imageStats(double *mean, double *stdDev, double *median, double *min, double *max) const;
|
||||
void rect(int &x, int &y, int w, int h, std::vector<double> &r) const;
|
||||
int findPeaks(double background, double distance, std::vector<Peak> &peaks) const;
|
||||
RawImage* medianFilter() const;
|
||||
void quarter();
|
||||
uint32_t width() const;
|
||||
uint32_t height() const;
|
||||
uint32_t size() const;
|
||||
ImgType type() const;
|
||||
void* data();
|
||||
const void* data() const;
|
||||
};
|
||||
|
||||
#endif // RAWIMAGE_H
|
||||
|
||||
+5
-2
@@ -15,8 +15,10 @@ CONFIG += c++11
|
||||
|
||||
QMAKE_CXXFLAGS += -fopenmp
|
||||
|
||||
LIBS += -lraw -lexif -lcfitsio -lgsl -lgslcblas -fopenmp
|
||||
unix: CONFIG += link_pkgconfig
|
||||
unix: PKGCONFIG += libraw_r cfitsio gsl libexif opencv
|
||||
|
||||
win32:LIBS += -lraw -lexif -lcfitsio -lgsl -lgslcblas -lopencv_imgproc -lopencv_core -fopenmp
|
||||
win32:LIBS += -LC:\msys64\mingw64\lib -LC:\msys64\mingw64\bin
|
||||
win32:INCLUDEPATH += C:\msys64\mingw64\include\ C:\msys64\mingw64\include\cfitsio
|
||||
|
||||
@@ -31,7 +33,8 @@ SOURCES += main.cpp\
|
||||
phd.cpp \
|
||||
photocapture.cpp \
|
||||
imagescrollareagl.cpp \
|
||||
stretchpanel.cpp
|
||||
stretchpanel.cpp \
|
||||
rawimage.cpp
|
||||
|
||||
HEADERS += mainwindow.h \
|
||||
imagescrollarea.h \
|
||||
|
||||
Reference in New Issue
Block a user