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| Packages that use BlobMeas | |
|---|---|
| net.grelf.astro | This package contains Java classes for astronomical applications. |
| net.grelf.grip | This package contains the Java classes which are specific to the image processing application GRIP. GRIP is available as a free download from www.grelf.net - please always quote this URL in connection with GRIP. Version: 12.1.1 |
| Uses of BlobMeas in net.grelf.astro |
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| Methods in net.grelf.astro with parameters of type BlobMeas | |
|---|---|
protected SkyPoint |
Star.measureTargetBlob(java.util.List<BlobMeas> refBlobs,
BlobMeas targetMeas,
Epoch epoch,
MeasuredValue degreesPerPixel)
|
protected SkyPoint |
Star.measureTargetBlob2(java.util.List<BlobMeas> refBlobs,
BlobMeas targetMeas,
Epoch epoch,
MeasuredValue degreesPerPixel)
|
| Method parameters in net.grelf.astro with type arguments of type BlobMeas | |
|---|---|
protected MeasuredValue |
Star.calibrateImage(java.util.List<BlobMeas> refBlobs)
Uses known celestial coordinates of refBlobs (from a StarChart: every BlobMeas must have a Star) to return scale factor in degrees per pixel. |
protected SkyPoint |
Star.measureTargetBlob(java.util.List<BlobMeas> refBlobs,
BlobMeas targetMeas,
Epoch epoch,
MeasuredValue degreesPerPixel)
|
protected SkyPoint |
Star.measureTargetBlob2(java.util.List<BlobMeas> refBlobs,
BlobMeas targetMeas,
Epoch epoch,
MeasuredValue degreesPerPixel)
|
| Uses of BlobMeas in net.grelf.grip |
|---|
| Methods in net.grelf.grip that return BlobMeas | |
|---|---|
BlobMeas |
BlobMeas.clone()
Does a deep copy of everything except the blob, for which the reference is copied. |
BlobMeas |
BlobFrame.getBlobMeas()
|
BlobMeas |
BlobMeasList.getNearestBlob(Blob blob)
Find the nearest neighbour to the given blob. |
BlobMeas |
BlobMeasList.getNearestBlob(int xx,
int yy)
Find the blob with centre nearest to given point (xx, yy). |
BlobMeas |
Blob.measure(Image image)
Measure brightness, density-weighted centre and area (pixel count) all on one pass. |
BlobMeas |
Blob_.measure(Image image)
Measure brightness, density-weighted centre and area (pixel count) all on one pass. |
| Methods in net.grelf.grip with parameters of type BlobMeas | |
|---|---|
boolean |
Accumulator.averageShiftAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first shift the image so that matched point pairs are superimposed. |
boolean |
Accumulator32.averageShiftAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first shift the image so that matched point pairs are superimposed. |
boolean |
Accumulator64.averageShiftAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first shift the image so that matched point pairs are superimposed. |
int |
BlobMeas.compareTo(BlobMeas other)
To enable sorting on reverse order of brightness. |
BlobFrame |
Blob.display(ImFrame srcFrame,
BlobMeas meas)
Display this blob magnified in the given frame. |
BlobFrame |
Blob_.display(ImFrame srcFrame,
BlobMeas meas)
Display this blob magnified in the given frame. |
static void |
MatchPair.drawMatches(java.util.List<MatchList> theListOfLists,
java.util.List<MatchPair> theMatches,
int wd,
int ht,
BlobMeas[][] theLookup,
BatchProcessor theBatchProcessor)
Display a new ImFrame in which is drawn the matched blobs and connecting lines showing how they are matched. |
boolean |
BlobMeasList.insert(BlobMeas meas)
Insert the BlobMeas object at the right place so the list is always in descending order of brightness. |
void |
Blob.measureAccurately(BlobMeas meas,
Image image)
Measure meanBackground, accurateBrightnesses and snRatios fields of the given BlobMeas using backgroundDisc and brightnessDisc in the given frame (which is assumed to be the parent frame of the magnified blob frame). The signal-to-noise (S/N) ratio for each channel is measured as (mean (starBrightness) - mean (backgroundBrightness)) / stdDev (backgroundBrightness) where mean (starBrightness) is the accurately measured brightness in the inner disc divided by the number of pixels in that disc. |
void |
Blob_.measureAccurately(BlobMeas meas,
Image image)
|
void |
Blob.measureAccurately(BlobMeas meas,
ImFrame parentFrame)
Measure meanBackground, accurateBrightnesses and snRatios fields of the given BlobMeas using backgroundDisc and brightnessDisc in the given frame (which is assumed to be the parent frame of the magnified blob frame). The signal-to-noise (S/N) ratio for each channel is measured as (mean (starBrightness) - mean (backgroundBrightness)) / stdDev (backgroundBrightness) where mean (starBrightness) is the accurately measured brightness in the inner disc divided by the number of pixels in that disc. |
void |
Blob_.measureAccurately(BlobMeas meas,
ImFrame parentFrame)
Measure meanBackground, accurateBrightnesses and snRatios fields of the given BlobMeas using backgroundDisc and brightnessDisc in the given frame (which is assumed to be the parent frame of the magnified blob frame). The signal-to-noise (S/N) ratio for each channel is measured as (mean (starBrightness) - mean (backgroundBrightness)) / stdDev (backgroundBrightness) where mean (starBrightness) is the accurately measured brightness in the inner disc divided by the number of pixels in that disc. |
void |
Blob.remeasureAccurately(BlobMeas meas,
ImFrame parentFrame)
|
void |
Blob_.remeasureAccurately(BlobMeas meas,
ImFrame parentFrame)
|
static void |
MatchList.reportListOfLists(java.util.List<MatchList> listOfLists,
BlobMeas[][] lookup,
java.lang.String fileName)
Output the list of blob matches between images as a CSV (comma-separated value) file. |
static void |
MatchPair.reportMatches(java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest,
java.lang.String fileName)
Output the list of blob matches between images as a CSV (comma-separated value) file. |
static java.awt.image.BufferedImage |
Warp.warp(java.awt.image.BufferedImage bim,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
Warp the given image (bim) using the inter-image match information. |
boolean |
Accumulator.warpAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first distort the image so that matched point pairs are superimposed. |
boolean |
Accumulator32.warpAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first distort the image so that matched point pairs are superimposed. |
boolean |
Accumulator64.warpAccumulate(Image8or16Base image,
int imNo,
int middleImNo,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest)
For image imNo of a sequence, add the pixel values into the accumulator but first distort the image so that matched point pairs are superimposed. |
| Constructors in net.grelf.grip with parameters of type BlobMeas | |
|---|---|
BlobFrame(java.lang.String title,
int width,
int height,
BlobMeas meas,
ImFrame parentFrame)
The BlobMeas parameter is non-null only if this is a frame opened as a result of clicking on or near one detected blob; also in that case the parent frame is the one on which the user clicked, containing all the detected blobs. |
|
BlobPanel(BlobFrame blobFrame,
BlobMeas meas)
|
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ImageSummaryDialogue(java.util.List<java.lang.String> fileNames,
java.util.List<java.lang.Long> captureTimesMs,
java.util.List<java.lang.Float> exposuresS,
java.util.List<java.lang.Integer> nStars,
java.util.List<java.lang.Float> meanCircularities,
java.util.List<MatchPair> matches,
BlobMeas[][] lookup,
int nBrightest,
boolean userMayRejectImages)
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