classify_image_class_svmT_classify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmclassify_image_class_svm (Operator)

名称

classify_image_class_svmT_classify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmclassify_image_class_svm — 使用支持向量机对图像进行分类。

签名

描述

classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmClassifyImageClassSvmclassify_image_class_svm performs a pixel classification with the support vector machine (SVM) SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle on the multichannel image ImageImageImageImageimageimage. Before calling classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmClassifyImageClassSvmclassify_image_class_svm the SVM must be trained with train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm. ImageImageImageImageimageimage must have NumFeaturesNumFeaturesNumFeaturesNumFeaturesnumFeaturesnum_features channels, as specified with create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm. On output, ClassRegionsClassRegionsClassRegionsClassRegionsclassRegionsclass_regions contains NumClassesNumClassesNumClassesNumClassesnumClassesnum_classes regions as the result of the classification. Note that the order of the regions that are returned in ClassRegionsClassRegionsClassRegionsClassRegionsclassRegionsclass_regions corresponds to the order of the classes as defined by the training regions in add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvmAddSamplesImageClassSvmadd_samples_image_class_svm.

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_svmAddSamplesImageClassSvmAddSamplesImageClassSvmAddSamplesImageClassSvmadd_samples_image_class_svm and by re-training the SVM with train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm.

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_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm and add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvmAddSamplesImageClassSvmadd_samples_image_class_svm.

执行信息

• 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.

参数

示例（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)

结果

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

可能的前置算子

train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm, read_class_svmread_class_svmReadClassSvmReadClassSvmReadClassSvmread_class_svm, reduce_class_svmreduce_class_svmReduceClassSvmReduceClassSvmReduceClassSvmreduce_class_svm

替代算子

classify_image_class_gmmclassify_image_class_gmmClassifyImageClassGmmClassifyImageClassGmmClassifyImageClassGmmclassify_image_class_gmm, classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnnclassify_image_class_knn, classify_image_class_mlpclassify_image_class_mlpClassifyImageClassMlpClassifyImageClassMlpClassifyImageClassMlpclassify_image_class_mlp, classify_image_class_lutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLutClassifyImageClassLutclassify_image_class_lut, class_ndim_normclass_ndim_normClassNdimNormClassNdimNormClassNdimNormclass_ndim_norm, class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSupclass_2dim_sup

另见

add_samples_image_class_svmadd_samples_image_class_svmAddSamplesImageClassSvmAddSamplesImageClassSvmAddSamplesImageClassSvmadd_samples_image_class_svm, create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm

模块

Foundation