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PCA_classifier_version1b

于 2018-01-22 发布文件大小:1300KB

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代码说明：

许多图像问题需要某种物体的检测，其中图像之间的物体的外观有自然的变化。如人脸识别，病变检测，神经通道分割。这些图像问题可以通过手动注释图像对象来解决，以训练识别正常物体外观的模型。这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")

文件列表：

PCA_classifier_version1b\apply_model.m, 2019 , 2009-07-22
PCA_classifier_version1b\example_classifier_ms.m, 4801 , 2010-02-12
PCA_classifier_version1b\get_feature_vectors.c, 3692 , 2009-07-22
PCA_classifier_version1b\get_feature_vectors.m, 542 , 2009-07-22
PCA_classifier_version1b\Literature\MICCAI_MS_Challenge_UTwente_Final.pdf, 742746 , 2008-08-14
PCA_classifier_version1b\TestData\patient3_FLAIR.png, 42372 , 2009-07-22
PCA_classifier_version1b\TestData\patient3_T1.png, 51434 , 2009-07-22
PCA_classifier_version1b\TestData\patient3_T2.png, 84151 , 2009-07-22
PCA_classifier_version1b\train_model.m, 3865 , 2010-02-12
PCA_classifier_version1b\TrainingData\patient1_FLAIR.png, 69519 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient1_lesion.png, 739 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient1_T1.png, 70981 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient1_T2.png, 82651 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient2_FLAIR.png, 60989 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient2_lesion.png, 577 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient2_T1.png, 68764 , 2009-07-22
PCA_classifier_version1b\TrainingData\patient2_T2.png, 82603 , 2009-07-22
license.txt, 1314 , 2014-02-12

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