Segmentation - Classification

HALCON ScriptCpp++.NETPythonC

Operators

add_samples_image_class_gmmAddSamplesImageClassGmm: Add training samples from an image to the training data of a Gaussian Mixture Model.

add_samples_image_class_knnAddSamplesImageClassKnn: Add training samples from an image to the training data of a k-Nearest-Neighbor classifier.

add_samples_image_class_mlpAddSamplesImageClassMlp: Add training samples from an image to the training data of a multilayer perceptron.

add_samples_image_class_svmAddSamplesImageClassSvm: Add training samples from an image to the training data of a support vector machine.

class_2dim_supClass2dimSup: Segment an image using two-dimensional pixel classification.

class_2dim_unsupClass2dimUnsup: Segment two images by clustering.

class_ndim_normClassNdimNorm: Classify pixels using hyper-spheres or hyper-cubes.

classify_image_class_gmmClassifyImageClassGmm: Classify an image with a Gaussian Mixture Model.

classify_image_class_knnClassifyImageClassKnn: Classify an image with a k-Nearest-Neighbor classifier.

classify_image_class_lutClassifyImageClassLut: Classify a byte image using a look-up table.

classify_image_class_mlpClassifyImageClassMlp: Classify an image with a multilayer perceptron.

classify_image_class_svmClassifyImageClassSvm: Classify an image with a support vector machine.

learn_ndim_normLearnNdimNorm: Construct classes for class_ndim_normClassNdimNorm.