classify_image_class_knnT_classify_image_class_knnClassifyImageClassKnnClassifyImageClassKnn (Operator)

Name

classify_image_class_knnT_classify_image_class_knnClassifyImageClassKnnClassifyImageClassKnn — Classify an image with a k-Nearest-Neighbor classifier.

Signature

Description

classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnn performs a pixel classification with a k-Nearest-Neighbor classifier (k-NN) KNNHandleKNNHandleKNNHandleKNNHandleKNNHandle on the multichannel image ImageImageImageImageimage. Before calling classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnn the k-NN classifier must be trained with train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnn. ImageImageImageImageimage must have NumDimNumDimNumDimNumDimnumDim channels, as specified with create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnn. On output, ClassRegionsClassRegionsClassRegionsClassRegionsclassRegions contains NumClassesNumClassesNumClassesNumClassesnumClasses regions as the result of the classification. Note that the order of the regions that are returned in ClassRegionsClassRegionsClassRegionsClassRegionsclassRegions corresponds to the order of the classes as defined by the training regions in add_samples_image_class_knnadd_samples_image_class_knnAddSamplesImageClassKnnAddSamplesImageClassKnnAddSamplesImageClassKnn. The parameter RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThreshold can be used to reject pixels that have an uncertain classification. RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThreshold represents a threshold on the distance to the nearest neighbor returned by the classification. All pixels having a probability below RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThreshold are not assigned to any class. DistanceImageDistanceImageDistanceImageDistanceImagedistanceImage contains the distance of each pixel to its nearest neighbor.

Execution Information

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Automatically parallelized on internal data level.

Parameters

Example (HDevelop)

read_image (Image, 'ic')
gen_rectangle1 (Board, 80, 320, 110, 350)
gen_rectangle1 (Capacitor, 359, 263, 371, 302)
gen_rectangle1 (Resistor, 200, 252, 290, 256)
gen_rectangle1 (IC, 180, 135, 216, 165)
concat_obj (Board, Capacitor, Classes)
concat_obj (Classes, Resistor, Classes)
concat_obj (Classes, IC, Classes)
create_class_knn (3, KNNHandle)
add_samples_image_class_knn (Image, Classes, KNNHandle)
get_sample_num_class_knn (KNNHandle, NumSamples)
train_class_knn (KNNHandle, [], [])
classify_image_class_knn (Image, ClassRegions, DistanceImage, KNNHandle, 0.5)
dev_display (ClassRegions)

Result

If the parameters are valid, the operator classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnn returns the value 2 (H_MSG_TRUE). If necessary an exception is raised.

Possible Predecessors

train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnn, read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnn

Alternatives

classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmClassifyImageClassSvm, classify_image_class_mlpclassify_image_class_mlpClassifyImageClassMlpClassifyImageClassMlpClassifyImageClassMlp, classify_image_class_gmmclassify_image_class_gmmClassifyImageClassGmmClassifyImageClassGmmClassifyImageClassGmm, classify_image_class_lutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLutClassifyImageClassLut, class_ndim_normclass_ndim_normClassNdimNormClassNdimNormClassNdimNorm, class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSup

See also

add_samples_image_class_knnadd_samples_image_class_knnAddSamplesImageClassKnnAddSamplesImageClassKnnAddSamplesImageClassKnn, create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnn

Module

Foundation