classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm (Operator)

Name

classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm — Classify an image with a support vector machine.

Signature

Description

classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm performs a pixel classification with the support vector machine (SVM) SVMHandleSVMHandleSVMHandleSVMHandleSVMHandleSVMHandle on the multichannel image ImageImageImageImageImageimage. Before calling classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm the SVM must be trained with train_class_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm. ImageImageImageImageImageimage must have NumFeatures channels, as specified with create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm. On output, ClassRegionsClassRegionsClassRegionsClassRegionsClassRegionsclassRegions contains NumClasses regions as the result of the classification.

To prevent that the SVM assigns pixels that lie outside the convex hull of the training data in the feature space to one of the classes, it is useful in many cases to explicitly train a rejection class by adding samples for the rejection class with add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvm and by re-training the SVM with train_class_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm.

An alternative for explicitly defining a rejection class is to use an SVM in the mode 'novelty-detection'"novelty-detection""novelty-detection""novelty-detection""novelty-detection""novelty-detection". Please refer to the description in create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm and add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvm.

Parallelization

• 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, 20, 270, 160, 420)
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_svm (3, 'rbf', 0.01, 0.01, 4, 'one-versus-all', \
                  'normalization', 3, SVMHandle)
add_samples_image_class_svm (Image, Classes, SVMHandle)
train_class_svm (SVMHandle, 0.001, 'default')
reduce_class_svm (SVMHandle, 'bottom_up', 2, 0.01, SVMHandleReduced)
classify_image_class_svm (Image, ClassRegions, SVMHandleReduced)
dev_display (ClassRegions)
clear_class_svm (SVMHandleReduced)
clear_class_svm (SVMHandle)

Result

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

Possible Predecessors

train_class_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm, read_class_svmread_class_svmReadClassSvmread_class_svmReadClassSvmReadClassSvm, reduce_class_svmreduce_class_svmReduceClassSvmreduce_class_svmReduceClassSvmReduceClassSvm

Alternatives

classify_image_class_gmmclassify_image_class_gmmClassifyImageClassGmmclassify_image_class_gmmClassifyImageClassGmmClassifyImageClassGmm, classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnn, classify_image_class_mlpclassify_image_class_mlpClassifyImageClassMlpclassify_image_class_mlpClassifyImageClassMlpClassifyImageClassMlp, classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut, class_ndim_boxclass_ndim_boxClassNdimBoxclass_ndim_boxClassNdimBoxClassNdimBox, class_ndim_normclass_ndim_normClassNdimNormclass_ndim_normClassNdimNormClassNdimNorm, class_2dim_supclass_2dim_supClass2dimSupclass_2dim_supClass2dimSupClass2dimSup

See also

add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvm, create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm

Module

Foundation