| Package | Description |
|---|---|
| <Unnamed> | |
| edu.utexas.clm.archipelago.example | |
| mpicbg.ij | |
| mpicbg.ij.visualization | |
| mpicbg.imagefeatures | |
| mpicbg.trakem2.align | |
| org.janelia.thickness.trakem2 |
| Modifier and Type | Method and Description |
|---|---|
static ij.ImagePlus |
MOPS_ExtractPointRoi.createFeatureDescriptorImage(String title,
Feature f) |
static Shape |
MOPS_ExtractPointRoi.createFeatureDescriptorShape(Feature f)
Create a Shape that illustrates the descriptor patch.
|
static void |
MOPS_ExtractPointRoi.drawFeatureDescriptor(ij.process.FloatProcessor fp,
Feature f) |
| Modifier and Type | Method and Description |
|---|---|
ArrayList<Feature> |
Cluster_SIFT.SIFTCall.call() |
static ArrayList<ArrayList<Feature>> |
Cluster_SIFT.clusterSIFTExtraction(Collection<String> fileNames,
FloatArray2DSIFT.Param param)
Extracts SIFT features from images using a FijiArchipelago Cluster
|
| Modifier and Type | Method and Description |
|---|---|
Collection<Feature> |
FeatureTransform.extractFeatures(ij.process.ImageProcessor ip) |
| Modifier and Type | Method and Description |
|---|---|
void |
SIFT.extractFeatures(ij.process.ImageProcessor ip,
Collection<Feature> features)
Extract SIFT features from an ImageProcessor
|
void |
MOPS.extractFeatures(ij.process.ImageProcessor ip,
Collection<Feature> features)
Extract MOPS features from an
ImageProcessor |
void |
FeatureTransform.extractFeatures(ij.process.ImageProcessor ip,
Collection<Feature> features)
Extract features from an ImageProcessor
|
static void |
FeatureTransform.matchFeatures(Collection<Feature> fs1,
Collection<Feature> fs2,
List<PointMatch> matches,
float rod)
Identify corresponding features
|
static void |
FeatureTransform.matchFeatures(Collection<Feature> fs1,
Collection<Feature> fs2,
List<PointMatch> matches,
float rod)
Identify corresponding features
|
| Modifier and Type | Method and Description |
|---|---|
static void |
PointVis.drawFeaturePoints(ij.process.ImageProcessor ip,
Collection<? extends Feature> features,
Color color,
int width) |
static void |
PointVis.drawFeaturePoints(ij.process.ImageProcessor ip,
Iterable<? extends Feature> features,
Color color,
int width,
Rectangle srcRect,
double magnification) |
| Modifier and Type | Method and Description |
|---|---|
List<Feature> |
FloatArray2DFeatureTransform.extractFeatures() |
Vector<Feature> |
FloatArray2DSIFT.run()
detect features in all scale octaves
|
List<Feature> |
FloatArray2DMOPS.run()
Detect features in all scale octaves.
|
Vector<Feature> |
FloatArray2DSIFT.run(int max_size)
detect features in all scale octaves
|
List<Feature> |
FloatArray2DMOPS.run(int max_size)
Detect features in all scale octaves.
|
List<Feature> |
FloatArray2DMOPS.runOctave(int o)
detect features in the specified scale octave
|
| Modifier and Type | Method and Description |
|---|---|
int |
Feature.compareTo(Feature f)
Comparator for making
Features sortable. |
double |
Feature.descriptorDistance(Feature f) |
| Modifier and Type | Method and Description |
|---|---|
static Vector<PointMatch> |
FloatArray2DSIFT.createMatches(List<Feature> fs1,
List<Feature> fs2,
double max_sd,
AbstractModel<?> model,
double max_id,
double rod)
identify corresponding features using spatial constraints
|
static Vector<PointMatch> |
FloatArray2DSIFT.createMatches(List<Feature> fs1,
List<Feature> fs2,
double max_sd,
AbstractModel<?> model,
double max_id,
double rod)
identify corresponding features using spatial constraints
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double max_sd,
AbstractModel<?> model,
double max_id,
double rod)
identify corresponding features using spatial constraints
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double max_sd,
AbstractModel<?> model,
double max_id,
double rod)
identify corresponding features using spatial constraints
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double rod,
HashMap<Point,Feature> m1,
HashMap<Point,Feature> m2)
Identify corresponding features.
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double rod,
HashMap<Point,Feature> m1,
HashMap<Point,Feature> m2)
Identify corresponding features.
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double rod,
HashMap<Point,Feature> m1,
HashMap<Point,Feature> m2)
Identify corresponding features.
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
double rod,
HashMap<Point,Feature> m1,
HashMap<Point,Feature> m2)
Identify corresponding features.
|
static Vector<PointMatch> |
FloatArray2DSIFT.createMatches(List<Feature> fs1,
List<Feature> fs2,
float rod)
Identify corresponding features
|
static Vector<PointMatch> |
FloatArray2DSIFT.createMatches(List<Feature> fs1,
List<Feature> fs2,
float rod)
Identify corresponding features
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
float rod)
Identify corresponding features
|
static List<PointMatch> |
FloatArray2DMOPS.createMatches(List<Feature> fs1,
List<Feature> fs2,
float rod)
Identify corresponding features
|
void |
FloatArray2DSIFT.extractFeatures(Collection<Feature> features) |
void |
FloatArray2DMOPS.extractFeatures(Collection<Feature> features) |
abstract void |
FloatArray2DFeatureTransform.extractFeatures(Collection<Feature> features)
Detect features.
|
static double[] |
FloatArray2DMOPS.featureSizeHistogram(List<Feature> features,
double min,
double max,
int bins)
get a histogram of feature sizes
|
static double[] |
FloatArray2DSIFT.featureSizeHistogram(Vector<Feature> features,
double min,
double max,
int bins)
get a histogram of feature sizes
|
static int |
Feature.matchFeatures(List<Feature> fs1,
List<Feature> fs2,
List<PointMatch> matches,
double rod)
Identify corresponding features
|
static int |
Feature.matchFeatures(List<Feature> fs1,
List<Feature> fs2,
List<PointMatch> matches,
double rod)
Identify corresponding features
|
protected void |
FloatArray2DSIFT.processCandidate(double[] c,
int o,
List<Feature> features)
assign orientation to the given candidate, if more than one orientations
found, duplicate the feature for each orientation
estimate the feature descriptor for each of those candidates
|
| Modifier and Type | Method and Description |
|---|---|
protected static Collection<Feature> |
Align.deserializeFeatures(Align.Param p,
AbstractAffineTile2D<?> t)
Retrieve the features only if saved with the exact same relevant SIFT parameters.
|
protected static ArrayList<Feature> |
Util.deserializeFeatures(Project project,
Object key,
String prefix,
long id)
Retrieve a
Collection of Features from the
TrakEM2 project folder. |
protected static Collection<Feature> |
Align.fetchFeatures(Align.Param p,
AbstractAffineTile2D<?> t) |
| Modifier and Type | Method and Description |
|---|---|
protected static boolean |
Align.serializeFeatures(Align.Param p,
AbstractAffineTile2D<?> t,
Collection<Feature> f) |
static boolean |
Util.serializeFeatures(Project project,
Object key,
String prefix,
long id,
Collection<Feature> f)
Save a
Collection of Features to the TrakEM2
project folder. |
| Modifier and Type | Method and Description |
|---|---|
protected static ArrayList<Feature> |
LayerZPosition.extract(SIFT ijSIFT,
ij.process.ImageProcessor ip) |
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