Name
classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut — Classify a byte image using a look-up table.
classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut performs a pixel classification on a
multi-channel byte ImageImageImageImageImageimage using a look-up table (LUT)
ClassLUTHandleClassLUTHandleClassLUTHandleClassLUTHandleClassLUTHandleclassLUTHandle. The operator can replace
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 and
classify_image_class_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm. The classification gets a major speed-up,
because the estimation of the class in every image point is no longer
necessary since every possible response of the GMM, KNN, MLP or SVM,
respectively, is stored in the LUT. This LUT classifier must be created
with the trained classifier in create_class_lut_gmmcreate_class_lut_gmmCreateClassLutGmmcreate_class_lut_gmmCreateClassLutGmmCreateClassLutGmm,
create_class_lut_knncreate_class_lut_knnCreateClassLutKnncreate_class_lut_knnCreateClassLutKnnCreateClassLutKnn, create_class_lut_mlpcreate_class_lut_mlpCreateClassLutMlpcreate_class_lut_mlpCreateClassLutMlpCreateClassLutMlp
or create_class_lut_svmcreate_class_lut_svmCreateClassLutSvmcreate_class_lut_svmCreateClassLutSvmCreateClassLutSvm, respectively, before
classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut can be used. For the classification the
parameters in create_class_gmmcreate_class_gmmCreateClassGmmcreate_class_gmmCreateClassGmmCreateClassGmm, create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn,
create_class_mlpcreate_class_mlpCreateClassMlpcreate_class_mlpCreateClassMlpCreateClassMlp and create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm, respectively,
are important: The byte ImageImageImageImageImageimage must have the same number of channels
as specified by NumInput, NumFeatures or NumDim,
respectively. As result of the pixel classification
classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut passes NumOutput or
NumClasses regions in ClassRegionsClassRegionsClassRegionsClassRegionsClassRegionsclassRegions, respectively
- 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.
Handle of the LUT classifier.
read_image (Image, 'patras')
gen_rectangle1 (Sea, 10, 10, 120, 270)
gen_rectangle2 (Deck, [170,400], [350,375], [-0.56192,-0.75139], \
[64,104], [26,11])
union1 (Deck, Deck)
gen_rectangle1 (Walls, 355, 623, 420, 702)
gen_rectangle2 (Chimney, 286, 623, -0.56192, 64, 33)
concat_obj (Sea, Deck, Classes)
concat_obj (Classes, Walls, Classes)
concat_obj (Classes, Chimney, Classes)
*
* create MLP classifier and train it with sample classes
create_class_mlp (3, 3, 4, 'softmax', 'principal_components', 3, \
42, MLPHandle)
add_samples_image_class_mlp (Image, Classes, MLPHandle)
train_class_mlp (MLPHandle, 200, 1, 0.01, Error, ErrorLog)
*
* create the LUT classifier
create_class_lut_mlp (MLPHandle, [], [], ClassLUTHandle)
clear_class_mlp (MLPHandle)
*
* classify the image with the LUT
classify_image_class_lut (Image, ClassRegions, ClassLUTHandle)
clear_class_lut (ClassLUTHandle)
If the parameters are valid, the operator
classify_image_class_lutclassify_image_class_lutClassifyImageClassLutclassify_image_class_lutClassifyImageClassLutClassifyImageClassLut returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
create_class_lut_gmmcreate_class_lut_gmmCreateClassLutGmmcreate_class_lut_gmmCreateClassLutGmmCreateClassLutGmm,
create_class_lut_knncreate_class_lut_knnCreateClassLutKnncreate_class_lut_knnCreateClassLutKnnCreateClassLutKnn,
create_class_lut_mlpcreate_class_lut_mlpCreateClassLutMlpcreate_class_lut_mlpCreateClassLutMlpCreateClassLutMlp,
create_class_lut_svmcreate_class_lut_svmCreateClassLutSvmcreate_class_lut_svmCreateClassLutSvmCreateClassLutSvm
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_svmclassify_image_class_svmClassifyImageClassSvmclassify_image_class_svmClassifyImageClassSvmClassifyImageClassSvm
create_class_lut_gmmcreate_class_lut_gmmCreateClassLutGmmcreate_class_lut_gmmCreateClassLutGmmCreateClassLutGmm,
create_class_lut_knncreate_class_lut_knnCreateClassLutKnncreate_class_lut_knnCreateClassLutKnnCreateClassLutKnn,
create_class_lut_mlpcreate_class_lut_mlpCreateClassLutMlpcreate_class_lut_mlpCreateClassLutMlpCreateClassLutMlp,
create_class_lut_svmcreate_class_lut_svmCreateClassLutSvmcreate_class_lut_svmCreateClassLutSvmCreateClassLutSvm
Foundation