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#define _ImageData_h_
/*
* E.S.O. - VLT project
* "@(#) $Id: ImageData.h,v 1.1.1.1 2009/03/31 14:11:52 cguirao Exp $"
*
* Image.h - class definitions for drawing images in Tk/Tcl
*
* See the man page ImageData(3) for a complete description of this class
* library.
*
* who when what
* -------------- -------- ----------------------------------------
* Allan Brighton 05/10/95 Created
*
* T. Herlin 06/12/95 Added set_object for camera objects
*
* Allan Brighton 12/03/98 Removed ImageData::read, use makeImage instead,
* since it allows different image types through
* subclassing.
* Moved WSC object (wcs_) to class ImageIO (does not
* change the public interface). This makes it easier
* to derive new image types or replace the WCS
* implementation in a derived class of ImageIORep.
* P.W. Draper 03/03/98 Added changes for display depths > 8 bits.
* 14/07/98 Added LOOKUP_BLANK to use last bin for
* blank pixel (otherwise comes out at
* scaled colour).
* pbiereic 22/03/99 Added parameters for bias frame
* P.W. Draper 12/07/99 Added haveBlank() and getBlank() members
* to allow return of blank_ value as a double.
* pbiereic 25/05/00 Added method 'fillToFit'
* pbiereic 27/06/01 Added method 'noiseStatistics'
* pbiereic 10/02/03 Native byte order routines revised
* P.W. Draper 16/01/07 Make sure object_ is null terminated.
* 24/04/08 Added growAndShrink().
* 19/06/09 Add setBlank member to handle case when BLANK
* isn't set, but should be.
* 19 Aug 11 Make log and sqrt scalings use different
* powers. This differentiates them and makes
* them more like other display tools.
*/
#include <sys/types.h>
#include <netinet/in.h>
#include "WCSRep.h"
#include "LookupTable.h"
#include "ImageIO.h"
#include "ImageDisplay.h"
#ifndef isnan
#define isnan(x) ((x) != (x))
#endif
typedef unsigned char byte; // type of XImage data (no longer ...)
struct ImageDataParams; // forward ref
struct ImageDataHistogram; // forward ref
typedef struct {
int on; // flag for bias subtraction on/off
char* ptr; // pointer to bias data
int width; // width of bias frame
int height; // height of bias frame
int type; // data type
int usingNetBO; // byte ordering
int sameTypeAndDims; // same image type and dimensions, flag
} biasINFO;
/*
* This is the base class for managing image data. There is a subclass for
* each of the base data types (byte, short, ushort, int, float). Most
* of the methods are the same for each data type, any many are implemented
* in ImageTemplates.icc, which uses macros to avoid duplicating code
* for each data type.
*
* CompoundImageData is used when there are multiple FITS extensions that
* should be displayed as a single image. It is a friend class, since it
* needs to access some protected members in an array of ImageData objects.
*/
class ImageData {
friend class CompoundImageData;
public:
// types of color scaling
enum ImageColorScaleType {
LINEAR_SCALE, // linear scale
LOG_SCALE, // logarithmic or exponential scale
SQRT_SCALE, // square root scale
HISTEQ_SCALE // histogram equalization
};
// values for color lookup table (from saoimage)
enum {
LOOKUP_SIZE = 65536, // default size of buffer (full range of short 0x10000)
LOOKUP_WIDTH = 65534, // range of image values allowed in histogram
LOOKUP_MIN = -32767, // minimum image value allowed
LOOKUP_MAX = 32767, // maximum image value allowed
LOOKUP_OFF = 32768, // offset from allocated array to zero (0x8000)
LOOKUP_BLANK = -32768 // end bin for blank pixel
};
protected:
// arbitrary name of this image, used to identify the image in messages
char name_[32];
// status after constructor
int status_;
// pointers to the caller's XImage and data, which this class writes to
ImageDisplay* xImage_;
byte* xImageData_;
// this represents the contents of the image file or other source
// (uses reference counting so we can share this with other views)
ImageIO image_;
// dimensions of image in pixels
int width_, height_;
// value in "OBJECT" header field: name of astronomical object
char object_[81];
// saved x, y values from last call to updateOffset(x, y)
double prevX_, prevY_;
// saved bounding box in raw image array of last image update
// (used later for calculating cut levels)
int x0_, y0_, x1_, y1_;
// XImage info
int xImageBytesPerLine_;
int xImageSize_; // size in bytes = width*height*bytesPerPixel
int xImageBytesPerPixel_; // Number of bytes per pixel in xImage (1 for 8
// bit displays).
// max x image x,y coords scaled to image coords
int xImageMaxX_, xImageMaxY_;
// lookup table mapping unsigned short to byte
LookupTable lookup_;
// type of color scaling to do
ImageColorScaleType colorScaleType_;
// these can be static for now, since all images share a static colormap
static int ncolors_; // number of available colors
static unsigned long* colors_; // array of color values
static unsigned long color0_; // reserved color for black pixels
static unsigned long colorn_; // reserved color for saturated pixels
static biasINFO* biasInfo_; // description of bias frame
int bias_swap_bytes_; // flag: if true, bytes swap is needed
int clear_; // flag: if true, clear out the image once
// minimum and maximum pixel values
double minValue_;
double maxValue_;
// color cut values and blank pixel value scaled to short (or ushort)
// range. Used in color scaling algorithms to generate lookup table
int scaledHighCut_;
int scaledLowCut_;
int scaledBlankPixelValue_;
int haveBlank_; // flag: true if the BLANK keyword was found
char blankValue_[32]; // character string with BLANK value
// color cut values
double highCut_;
double lowCut_;
// min image value scaled to short or ushort range
// (used in color scaling algorithms to generate lookup table)
int scaledMinValue_;
// optional exponents for LOGARITHMIC and SQRT color scale (def: 6 & 2)
double logexpo_;
double sqrtexpo_;
// X,Y amount image should be scaled
int xScale_, yScale_;
// flag: true if x and y coords should be swapped (rotate 90 deg.)
int rotate_;
// flag: true if image should be flipped in the X or Y direction
int flipX_, flipY_;
// values from ESO/VLT FITS keywords used to calculate detector coordinates.
int startX_, startY_;
int binX_, binY_;
int prescanX_, prescanY_;
int overscanX_, overscanY_;
// CRPIX values from the FITS header
double crpix1_, crpix2_;
// display width and height (after scaling)
int dispWidth_, dispHeight_;
// area of image = width_ * height_
int area_;
// flag: true when the image needs updating
int update_pending_;
// flag: if true, do a quick dirty job when shrinking image
int subsample_;
// sampling method
int sampmethod_;
// flag: if true, print diagnostic messages
int verbose_;
protected:
// check args and call virtual methods to copy raw data to xImage
virtual void toXImage(int x0, int y0, int x1, int y1, int dest_x, int dest_y);
// Clip and set the bounds of the visible portion of the image (x0_, y0_, x1_, y1_).
virtual void setBounds(int x0, int y0, int x1, int y1, int dest_x, int dest_y);
// copy raw data to xImage, pos. with transformations (defined in derived class)
virtual void rawToXImage(int x0, int y0, int x1, int y1,
int dest_x, int dest_y) = 0;
virtual void shrink(int x0, int y0, int x1, int y1,
int dest_x, int dest_y) = 0;
virtual void grow(int x0, int y0, int x1, int y1,
int dest_x, int dest_y) = 0;
virtual void growAndShrink(int x0, int y0, int x1, int y1,
int dest_x, int dest_y) = 0;
// initialize conversion from base type to short,
// used by color scaling algorithms as index in lookup table
// (defined in a derived class, not needed for byte images)
virtual void initShortConversion() = 0;
// scan the image for the min and max values
virtual void getMinMax() = 0;
// flip x,y coords about default or specified image width,height
void flip(double& x, double& y, int width = 0, int height = 0);
void flip(int& x0, int& y0, int& x1, int& y1);
// apply bzero and bscale to the value
double scaleValue(double d) {return image_.scaleValue(d);}
// reverse the effect of bzero and bscale
double unScaleValue(double d) {return image_.unScaleValue(d);}
// get pixel value distribution info (internal version)
virtual void getPixDist(int numValues, double* xyvalues, double factor) = 0;
// Fill the given histogram with the distribution of pixels in the
// visible image area
virtual void getHistogram(ImageDataHistogram&) = 0;
// set default cut levels to min/max pixel values
void setDefaultCutLevels();
// initialize a new image, set default cut levels, etc.
virtual ImageData* initImage();
// constructor (only called by derived clases)
ImageData(const char* name, const ImageIO&, int verbose,
int lookup_size = LOOKUP_SIZE);
// copy constructor (called by copy() member function)
ImageData(const ImageData&);
public:
// destructor
virtual ~ImageData() {}
// return class name as a string
virtual const char* classname() { return "ImageData"; }
// save image to a file
int write(const char* filename);
// Save the contents of the given region of this image to the given file.
// The coordinates are expected in image pixel units.
virtual int write(const char* filename, double x0, double y0, double x1, double y1);
// return a pointer to a derived class of this class specialized in the given
// type of image, as given by the ImageIO reference.
// Note: ImageIO is a reference counted class. New image types can be added
// by subclassing the internal class ImageIORep.
static ImageData* makeImage(const char* name, const ImageIO&, biasINFO* biasInfo, int verbose = 0);
// Make a new compound image by combining the given image extensions
// in the given ImageIO object and return a pointer to a derived class
// of this class specialized in handling compound images, or null
// if there is an error.
static ImageData* makeCompoundImage(const char* name, const ImageIO& imio,
int* hduList, int numHDUs,
biasINFO* biasInfo, int verbose);
// reinitialize the image after a change (such as moving to a new HDU)
int reinit();
// apply/reverse transformations on coordinates (scale, rotate, flip, etc...)
void doTrans(double& x, double& y, int distFlag = 0,
double xOffset = 0.0, double yOffset = 0.0,
int width = 0, int height = 0);
void undoTrans(double& x, double& y, int distFlag = 0,
double xOffset = 0.0, double yOffset = 0.0,
int width = 0, int height = 0);
// convert x,y coords to a distance by flipping where needed
void coordsToDist(double& x, double& y, int width = 0, int height = 0);
// convert distance to coords (reverse of above)
void distToCoords(double& x, double& y, int width = 0, int height = 0);
// Convert the given image coordinates to detector chip/CCD coordinates.
void imageToChipCoords(double& x, double& y);
// Convert the given detector chip/CCD coordinates to image coordinates.
void chipToImageCoords(double& x, double& y);
// single arg versions of the above methods
void imageToChipCoords(double& x);
void chipToImageCoords(double& x);
// get pixel index from image coords
int getIndex(double x, double y, int& ix, int& iy);
// set the destination X image buffer, dimensions and raw image offset
virtual void setXImage(ImageDisplay* xImage);
// set the scaling factor
virtual void setScale(int xScale, int yScale);
// set the scaling factor so that the image will fit in the given box
void shrinkToFit(int width, int height);
// set the scaling factor so that the image will fill the given box
void fillToFit(int width, int height);
// update the entire image from the raw image if necessary
void update();
// update image from raw data starting at the given x,y offset
virtual void updateOffset(double x, double y);
// get array with information about the pixel value distribution
void getDist(int& numValues, double* xyvalues);
// initialize flag for speeding up bias subtraction
void initGetVal();
// scan the image along the given line and generate an array
// with pixel value information
int getSpectrum(double* xyvalues, int x0, int y0, int x1, int y1);
// get meander coords of a horizontal line at position y (index starting at 0)
int getXline4(int y, int x0, int x1, double *xyvalues);
// same as getXline4 but with specified x ranges (start xr0, delta dxr)
int getXline4(int y, int x0, int x1, double *xyvalues, double xr0, double dxr);
// get meander coords of a vertical line at position x (index starting at 0)
int getYline4(int x, int y0, int y1, double *xyvalues);
// Return the image coords of the visible image area (bounding box)
void getBbox(double *x0, double *x1, double *y0, double *y1);
// get min and max values of an image area
int getMinMax(double rx0, double ry0, int w, int h, double *minval, double *maxval);
// manually set the cut levels (if scaled is true, min and max are "bscaled")
virtual void setCutLevels(double min, double max, int scaled);
// automatically set the cut levels to leave percent visible
virtual void autoSetCutLevels(double percent = 98.0);
// automatically set the cut levels using median filtering
virtual void medianFilter() {}
// set the colors to use for the image
virtual void colorScale(int ncolors, unsigned long* colors);
// return the type of the raw data
virtual int dataType() = 0;
// return true if the data type is signed
virtual int isSigned() = 0;
// return a copy of the image
virtual ImageData* copy() = 0;
// save/restore transformation parameters
virtual void saveParams(ImageDataParams&);
virtual void restoreParams(ImageDataParams&, int restoreCutLevels = 1);
// print x,y coords and raw data value at x,y coords to buffer
virtual char* getValue(char* buf, double x, double y) = 0;
// print the values at the given x,y coords to the buffers for display
virtual void getValues(double x, double y, double rx, double ry,
char* xStr, char* yStr, char* valueStr,
char* raStr, char* decStr, char* equinoxStr) = 0;
// get array of image pixel values and x,y coords around a point
virtual void getValues(double x, double y, double rx, double ry, double* ar,
int nrows, int ncols, int flag = 0) = 0;
// get array of image pixel values at a given offset with given dimensions
virtual void getValues(double x, double y, int w, int h, float* ar, int flag = 0) = 0;
// return the value at the x,y coords as a double
virtual double getValue(double x, double y) = 0;
// Copy raw image data from this image to the given image data area,
// starting at the image coordinates (x, y) and with the dimentions (w, h)
// in pixels. Since this is a copy from one raw image to another, no
// data conversion is done.
virtual void copyImageArea(void* data, double x, double y, int w, int h) = 0;
// get statistics for "pick object" on a specified area of the image
virtual int getStatistics(double x, double y, int w, int h,
double& meanX, double& meanY,
double& fwhmX, double& fwhmY,
double& symetryAngle,
double& objectPeak, double& meanBackground);
// get noise statistics on a specified area of the image
virtual int noiseStatistics(double rx0, double ry0, int w, int h,
double *dmin, double *dmax, double *av, double *rms,
int *xs, int *xe, int *ys, int *ye);
// member access
int status() {return status_;}
// get the image data or header
Mem& data() {return (Mem&)image_.data();}
Mem& header() {return (Mem&)image_.header();}
// write a (ASCII formatted) copy of the FITS header to the given stream
int getFitsHeader(ostream& os) {return image_.getFitsHeader(os); }
// set new data or header
void data(const Mem& data);
void header(const Mem& header);
// access the world coordinate info object for the image
WCS& wcs() {return image_.wcs();}
ImageDisplay* xImage() {return xImage_;}
const ImageIO& image() {return image_;}
void colorScaleType(ImageColorScaleType t) {colorScaleType_ = t;}
ImageColorScaleType colorScaleType() {return colorScaleType_;}
int ncolors() {return ncolors_;}
unsigned long* colors() {return colors_;}
unsigned long color0() {return color0_;}
unsigned long colorn() {return colorn_;}
virtual void setColors(int ncolors, unsigned long* colors);
void setBiasInfo(biasINFO* ptr) {biasInfo_ = ptr;}
void logexpo(double e) {logexpo_ = e;}
double logexpo() {return logexpo_;}
void sqrtexpo(double e) {sqrtexpo_ = e;}
double sqrtexpo() {return sqrtexpo_;}
int width() {return width_;}
int height() {return height_;}
int dispWidth() {return dispWidth_;}
int dispHeight() {return dispHeight_;}
int xScale() {return xScale_;}
int yScale() {return yScale_;}
int flipX() {return flipX_;}
virtual void flipX(int b) {flipX_ = (b != 0); update_pending_++;}
int flipY() {return flipY_;}
virtual void flipY(int b) {flipY_ = (b != 0); update_pending_++;}
int rotate() {return rotate_;}
virtual void rotate(int);
double crpix1() {return crpix1_;}
double crpix2() {return crpix2_;}
int startX() {return startX_;}
int startY() {return startY_;}
void startX(int x) {startX_ = x;}
void startY(int y) {startY_ = y;}
int binX() {return binX_;}
int binY() {return binY_;}
void binX(int x) {binX_ = x;}
void binY(int y) {binY_ = y;}
int prescanX() {return prescanX_;}
int prescanY() {return prescanY_;}
void prescanX(int x) {prescanX_ = x;}
void prescanY(int y) {prescanY_ = y;}
int overscanX() {return overscanX_;}
int overscanY() {return overscanY_;}
void overscanX(int x) {overscanX_ = x;}
void overscanY(int y) {overscanY_ = y;}
virtual double highCut() {return scaleValue(highCut_);}
virtual double lowCut() {return scaleValue(lowCut_);}
virtual double minValue() {return scaleValue(minValue_);}
virtual double maxValue() {return scaleValue(maxValue_);}
virtual void subsample(int b) {subsample_ = b;}
virtual int subsample() {return subsample_;}
virtual void sampmethod(int b) {sampmethod_ = b;}
virtual int sampmethod() {return sampmethod_;}
virtual int getNumImages() {return 1;}
virtual void verbose(int b) {verbose_ = b;}
virtual void name(const char* name) {strncpy(name_, name, sizeof(name_)-1);}
char* name() {return name_;}
virtual void object(const char *object) {
strncpy(object_, object, sizeof(object_));
object_[80] = '\0';
}
char* object() {return object_;}
int update_pending() {return update_pending_;}
void update_pending(int b) {update_pending_ = b;}
LookupTable lookupTable() {return lookup_;}
virtual int lookupTable(LookupTable);
void clear() {clear_ = 1; update_pending_++;}
// return the blank value as a double
virtual double getBlank() = 0;
virtual int haveBlank() = 0;
// If there is a special value for blank pixels, get it and set the
// values of haveBlankPixel_ and scaledBlankPixelValue_.
virtual void initBlankPixel() = 0;
// set the blank value string
void setBlank(const char* value) {
strncpy(blankValue_, value, sizeof(blankValue_)-1);
}
};
// struct used to save transformation parameters of image for use in new image
struct ImageDataParams {
int status; // only restore if status is 0
int flipX, flipY; // true if image is flipped
int rotate; // true if x,y axis swapped
int xScale, yScale; // scale factors
int dataType; // data type of image data
double lowCut, highCut; // cut levels
ImageData::ImageColorScaleType colorScale; // color scale type
// constructor
ImageDataParams() : status(1) {}
};
// struct used to generate a histogram of the image data, where the pixels
// are first converted to shorts.
struct ImageDataHistogram {
int histogram[ImageData::LOOKUP_SIZE]; // count of pixels having this value
// after conversion to short
int area; // area of image used to create histogram,
ImageDataHistogram() {
memset(histogram, '\0', sizeof(histogram));
}
int size() {return sizeof(histogram);}
};
#endif /* _ImageData_h_ */
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