Zenodo (CERN European Organization for Nuclear Research) · 2008 · 13 citations · 16 references
ComputingComputer ScienceRadiologyComputer VisionDiagnostic ImagingMachine LearningImage AnalysisImage ClassificationMedical Image AnalysisObject DetectionSupport Vector MachinesTexture AnalysisAutomatic Target RecognitionImage Texture AnalysisSupport Vector Machine ClassificationSynthetic Aperture RadarTarget DetectionTarget LocalizationTarget RecognitionTexture Feature Extraction
An image texture analysis and target recognition approach of using an improved image texture feature coding method (TFCM) and Support Vector Machine (SVM) for target detection is presented. With our proposed target detection framework, targets of interest can be detected accurately. Cascade-Sliding-Window technique was also developed for automated target localization. Application to mammogram showed that over 88% of normal mammograms and 80% of abnormal mammograms can be correctly identified. The approach was also successfully applied to Synthetic Aperture Radar (SAR) and Ground Penetrating Radar (GPR) images for target detection.
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Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations
Statistical and structural approaches to texture
R.M. Haralick · Proceedings of the IEEE · 1979 · 5.7K citations
Texture classification using texture spectrum
Li Wang, Dong-Chen He · Pattern Recognition · 1990 · 415 citations