classify_image_class_knnT_classify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnclassify_image_class_knn (算子名称)

名称

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

参数签名

描述

classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnnclassify_image_class_knn performs a pixel classification with a k-Nearest-Neighbor classifier (k-NN) KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle on the multichannel image ImageImageImageImageimageimage. Before calling classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnnclassify_image_class_knn the k-NN classifier must be trained with train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnntrain_class_knn. ImageImageImageImageimageimage must have NumDimNumDimNumDimNumDimnumDimnum_dim channels, as specified with create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn. 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_knnadd_samples_image_class_knnAddSamplesImageClassKnnAddSamplesImageClassKnnAddSamplesImageClassKnnadd_samples_image_class_knn. The parameter RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThresholdrejection_threshold can be used to reject pixels that have an uncertain classification. RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThresholdrejection_threshold represents a threshold on the distance to the nearest neighbor returned by the classification. All pixels having a probability below RejectionThresholdRejectionThresholdRejectionThresholdRejectionThresholdrejectionThresholdrejection_threshold are not assigned to any class. DistanceImageDistanceImageDistanceImageDistanceImagedistanceImagedistance_image contains the distance of each pixel to its nearest neighbor.

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• Automatically parallelized on internal data level.

参数表

例程 (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)

结果

如果参数均有效，算子 classify_image_class_knnclassify_image_class_knnClassifyImageClassKnnClassifyImageClassKnnClassifyImageClassKnnclassify_image_class_knn 返回值 2 ( H_MSG_TRUE) . If necessary an exception is raised.

可能的前置算子

train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnntrain_class_knn, read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn

可替代算子

classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvmClassifyImageClassSvmclassify_image_class_svm, classify_image_class_mlpclassify_image_class_mlpClassifyImageClassMlpClassifyImageClassMlpClassifyImageClassMlpclassify_image_class_mlp, classify_image_class_gmmclassify_image_class_gmmClassifyImageClassGmmClassifyImageClassGmmClassifyImageClassGmmclassify_image_class_gmm, classify_image_class_lutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLutClassifyImageClassLutclassify_image_class_lut, class_ndim_normclass_ndim_normClassNdimNormClassNdimNormClassNdimNormclass_ndim_norm, class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSupclass_2dim_sup

参考其它

add_samples_image_class_knnadd_samples_image_class_knnAddSamplesImageClassKnnAddSamplesImageClassKnnAddSamplesImageClassKnnadd_samples_image_class_knn, create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn

模块

Foundation

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