This is a class to track hyper spectal blobs. More...
#include <VFAT/segmentImageMC2.H>
Public Member Functions | |
| segmentImageMC2 () | |
| create an object. Set true for RGB false for HSV | |
| void | SIsetVal (const typename std::vector< FLOAT > &val, const typename std::vector< FLOAT > &thresh) |
| set the Value (brightness) value you are looking for with thresh error | |
| void | SIsetValThresh (const typename std::vector< FLOAT > &high, const typename std::vector< FLOAT > &low) |
| set the Value (brightness) value you are looking for with thresh error | |
| void | SIsetFrame (int *x, int *y) |
| set the region of the image to inspect | |
| void | SIresetCandidates (const bool whichWay) |
| Call during run if color is totally reset. | |
| void | SIsetAvg (const INT doAvg) |
| set up averaging for color averaging adaptation | |
| void | SIresetAvg () |
| reset averaging for color averaging adaptation | |
| void | SIsegment (Image< PixRGB< byte > > *image, typename std::vector< Image< FLOAT > > *featureMap, const bool lowPass=false) |
| segment image based upon parameters input (depricated) | |
| void | SIsegment (typename std::vector< Image< FLOAT > > *featureMap, const bool lowPass=false) |
| segment image based upon parameters input | |
| void | SItoggleCandidateBandPass (const bool toggle) |
| toggle band pass filter on candidate pixels on/off | |
| void | SItoggleRemoveSingles (const bool toggle) |
| Turn on or off single removal: defaults to ON. | |
| void | SIsetKillValue (const unsigned int kv) |
| override and set the kill value for removing singles | |
| Image< INT > | SIcreateMother (const Image< INT > &img) const |
| merge all blobs into one big blob, useful if you erase blobs | |
| Image< int > | SIreturnBlobs () const |
| return an image with labeled blobs. Use getBlobMap to map blobs | |
| Image< bool > | SIreturnCandidates () const |
| return a bool map off all candidate pixels | |
| Image< FLOAT > | SIreturnNormalizedCandidates () const |
| return a normalized displayable map off all candidate pixels | |
| Image< PixRGB< FLOAT > > | SIreturnWorkImage () const |
| return the image that is being worked on, to check if its ok | |
| INT | SInumberBlobs () const |
| return the total number of blobs | |
| std::vector< INT > | SIgetBlobMap () const |
| return a map of blobs that gives the numeric ID of a blob from the image | |
| void | SIcalcMassCenter () |
| calculate basic mass/center blob properties | |
| FLOAT | SIgetCenterX (const INT blob) const |
| get blob center in X | |
| FLOAT | SIgetCenterY (const INT blob) const |
| get blob center in X | |
| INT | SIgetMass (const INT blob) const |
| get blob mass | |
| int | SIgetXmin (const INT blob) const |
| get X min for a blob | |
| int | SIgetXmax (const INT blob) const |
| get X max for a blob | |
| int | SIgetYmin (const INT blob) const |
| get Y min for a blob | |
| int | SIgetYmax (const INT blob) const |
| get Y max for a blob | |
| int | SIgetImageSizeX () const |
| get the working image size in X | |
| int | SIgetImageSizeY () const |
| get the working image size in Y | |
| void | SIgetValue (INT *blob, typename std::vector< FLOAT > *mean, typename std::vector< FLOAT > *std, INT *in) |
| get HSV mean values and standard deviations for a blob | |
| void | SIgetValueMean (INT *blobListSize, std::vector< INT > *blobList, typename std::vector< FLOAT > *mean, typename std::vector< FLOAT > *std, FLOAT *mass) |
| do HVS color value means for x last iterations | |
This is a class to track hyper spectal blobs.
This class is most likely called by segmentImageTrackMC and will segment images by linking pixels and the corresponding image regions by linked stripes. It will also segregate each blob and track it seperately.
Definition at line 81 of file segmentImageMC2.H.
| template SI_TEMPLATE_CLASS segmentImageMC2::segmentImageMC2 | ( | ) |
create an object. Set true for RGB false for HSV
skews here are used to skew the curve towards one end of the threshold that is, you pick the ideal color value as val, the you pick the cut off threshold as thresh. You can then bias towads one end or the other by setting skew to +/- value, that value bing added to the upper or lower bound for the cut off depending on whether it is +/- that is, if its a neg. value then the lower bound is extended
Definition at line 67 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIcalcMassCenter | ( | ) |
calculate basic mass/center blob properties
Definition at line 398 of file segmentImageMC2.C.
References Image< T >::beginw(), Image< T >::getHeight(), Image< T >::getWidth(), and height.
| template SI_TEMPLATE_CLASS Image< INT > segmentImageMC2::SIcreateMother | ( | const Image< INT > & | img | ) | const |
merge all blobs into one big blob, useful if you erase blobs
else just use returnCandidates
Definition at line 316 of file segmentImageMC2.C.
References Image< T >::getHeight(), Image< T >::getVal(), Image< T >::getWidth(), Image< T >::resize(), Image< T >::setVal(), and ZEROS.
| template SI_TEMPLATE_CLASS std::vector< INT > segmentImageMC2::SIgetBlobMap | ( | ) | const |
return a map of blobs that gives the numeric ID of a blob from the image
Definition at line 390 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS FLOAT segmentImageMC2::SIgetCenterX | ( | const INT | blob | ) | const |
get blob center in X
Definition at line 460 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS FLOAT segmentImageMC2::SIgetCenterY | ( | const INT | blob | ) | const |
get blob center in X
Definition at line 468 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetImageSizeX | ( | ) | const |
get the working image size in X
Definition at line 516 of file segmentImageMC2.C.
References Image< T >::getWidth().
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetImageSizeY | ( | ) | const |
get the working image size in Y
Definition at line 524 of file segmentImageMC2.C.
References Image< T >::getHeight().
| template SI_TEMPLATE_CLASS INT segmentImageMC2::SIgetMass | ( | const INT | blob | ) | const |
get blob mass
Definition at line 476 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIgetValue | ( | INT * | blob, | |
| typename std::vector< FLOAT > * | mean, | |||
| typename std::vector< FLOAT > * | std, | |||
| INT * | in | |||
| ) | [inline] |
get HSV mean values and standard deviations for a blob
Definition at line 531 of file segmentImageMC2.C.
References Image< T >::beginw(), Image< T >::endw(), and sqrt().
Referenced by SIgetValueMean().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIgetValueMean | ( | INT * | blobListSize, | |
| std::vector< INT > * | blobList, | |||
| typename std::vector< FLOAT > * | mean, | |||
| typename std::vector< FLOAT > * | std, | |||
| FLOAT * | mass | |||
| ) |
do HVS color value means for x last iterations
Definition at line 579 of file segmentImageMC2.C.
References SIgetValue().
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetXmax | ( | const INT | blob | ) | const |
get X max for a blob
Definition at line 492 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetXmin | ( | const INT | blob | ) | const |
get X min for a blob
Definition at line 484 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetYmax | ( | const INT | blob | ) | const |
get Y max for a blob
Definition at line 508 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS int segmentImageMC2::SIgetYmin | ( | const INT | blob | ) | const |
get Y min for a blob
Definition at line 500 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS INT segmentImageMC2::SInumberBlobs | ( | ) | const |
return the total number of blobs
Definition at line 382 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIresetAvg | ( | ) | [inline] |
reset averaging for color averaging adaptation
Definition at line 207 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIresetCandidates | ( | const bool | whichWay | ) | [inline] |
Call during run if color is totally reset.
Definition at line 143 of file segmentImageMC2.C.
References Image< T >::beginw(), and Image< T >::endw().
| template SI_TEMPLATE_CLASS Image< int > segmentImageMC2::SIreturnBlobs | ( | ) | const |
return an image with labeled blobs. Use getBlobMap to map blobs
Definition at line 337 of file segmentImageMC2.C.
Referenced by WinnerTakeAllTempNote::integrate().
| template SI_TEMPLATE_CLASS Image< bool > segmentImageMC2::SIreturnCandidates | ( | ) | const |
return a bool map off all candidate pixels
Definition at line 345 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS Image< FLOAT > segmentImageMC2::SIreturnNormalizedCandidates | ( | ) | const |
return a normalized displayable map off all candidate pixels
Definition at line 353 of file segmentImageMC2.C.
References Image< T >::getHeight(), Image< T >::getVal(), Image< T >::getWidth(), Image< T >::resize(), and Image< T >::setVal().
Referenced by WinnerTakeAllTempNote::integrate().
return the image that is being worked on, to check if its ok
Definition at line 373 of file segmentImageMC2.C.
References ASSERT.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsegment | ( | typename std::vector< Image< FLOAT > > * | featureMap, | |
| const bool | lowPass = false | |||
| ) |
segment image based upon parameters input
Definition at line 255 of file segmentImageMC2.C.
References lowPass5().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsegment | ( | Image< PixRGB< byte > > * | image, | |
| typename std::vector< Image< FLOAT > > * | featureMap, | |||
| const bool | lowPass = false | |||
| ) |
segment image based upon parameters input (depricated)
Definition at line 244 of file segmentImageMC2.C.
References image.
Referenced by WinnerTakeAllTempNote::integrate().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsetAvg | ( | const INT | doAvg | ) | [inline] |
set up averaging for color averaging adaptation
Definition at line 190 of file segmentImageMC2.C.
Referenced by WinnerTakeAllTempNote::input().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsetFrame | ( | int * | x, | |
| int * | y | |||
| ) | [inline] |
set the region of the image to inspect
Definition at line 165 of file segmentImageMC2.C.
References Image< T >::resize().
Referenced by WinnerTakeAllTempNote::input().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsetKillValue | ( | const unsigned int | kv | ) |
override and set the kill value for removing singles
Definition at line 306 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsetVal | ( | const typename std::vector< FLOAT > & | val, | |
| const typename std::vector< FLOAT > & | thresh | |||
| ) | [inline] |
set the Value (brightness) value you are looking for with thresh error
This method will set the threshold to be val +/- thresh. Thus, consider val to be the mean color you wish to track with a standard deviation like boundary as thresh. To set the high and low values directly use SIsetValThresh as an alternative.
Definition at line 95 of file segmentImageMC2.C.
| template SI_TEMPLATE_CLASS void segmentImageMC2::SIsetValThresh | ( | const typename std::vector< FLOAT > & | high, | |
| const typename std::vector< FLOAT > & | low | |||
| ) | [inline] |
set the Value (brightness) value you are looking for with thresh error
Set threshold values directly as a boundary between high and low. If you wish to work more on mean values use SIsetVal instead.
Definition at line 117 of file segmentImageMC2.C.
Referenced by WinnerTakeAllTempNote::input().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SItoggleCandidateBandPass | ( | const bool | toggle | ) |
toggle band pass filter on candidate pixels on/off
Definition at line 292 of file segmentImageMC2.C.
Referenced by WinnerTakeAllTempNote::input().
| template SI_TEMPLATE_CLASS void segmentImageMC2::SItoggleRemoveSingles | ( | const bool | toggle | ) |
Turn on or off single removal: defaults to ON.
Definition at line 299 of file segmentImageMC2.C.
1.6.3