| a.a.main | MAIN |
| a.b.main.image.recognition | MAIN - Image Recognition |
| b.a.preprocessing.start | Feature Extraction - Wrapper function |
| b.b.createTrainTestDataIndexes | Preprocessing - Create Train Test DataSet Indexes |
| b.c.loadClassData | Feature Extraction - Step 2 |
| b.d.normalization.start | Preprocessing - Method that starts either the... |
| b.d.rgbNorm | Preprocessing - Normalize rgb images to remove shadow and... |
| b.e.transformGrayscale | Preprocessing - Transform rgb images to grayscale |
| b.f.transformHistEqualRgb | Preprocessing - Transform rgb images using histogram... |
| b.g.transformHistEqualGray | Preprocessing - Transform grayscale images using histogram... |
| b.h.displayImageHist | Preprocessing - Display the histogram of an image |
| b.i.randAssignAccuracy | Preprocessing - |
| b.j.assignSimpelAccuracy | Preprocessing - |
| b.k.rgbNorm | Preprocessing - |
| c.a.feature.start | Feature Extraction - Wrapper function |
| c.b.colorHist | Feature Extraction - Step 1 |
| c.c.colorHistPlotting | Feature Extraction - Plotting Histograms |
| c.d.hog | Feature Extraction - Step 2 (Histogram of Oriented Gradients) |
| c.e.displayHogFeature | Feature Extraction - display HOG (Histogram of Oriented... |
| c.f.plotHogCellVectors | Feature Extraction - plot HOG (Histogram of Oriented... |
| c.g.getPixelInfo | Feature Extraction - |
| d.a.randomForest.start | Random Forest - Wrapper function |
| d.b.step1 | Classifier 1 - Step 1 |
| d.c.step2 | Random Forest - Step 2 |
| d.d.evaluation | Random Forrest - Evaluation |
| d.e.plotImportanceColorHist | Classifier 1 - Step 1 |
| e.a.ann.start | Artifical Neural Network - Wrapper function |
| e.b.ann.step1 | Artificial Neural Network - Model generation |
| f.a.cnn.start | Convolutional Neural Network - Wrapper function |
| f.b.cnn.step1 | Convolutional Neural Network - Step 1 |
| f.c.cnn.step2 | Convolutional Neural Network - Step 2 |
| g.a.svm.start | Classifier Support Vector Machine - Wrapper function |
| g.b.step1 | Classifier Support Vector Machine - Step 1 |
| g.c.step2 | Classifier Support Vector Machine - Step 2 |
| z.a.util.gen.summary | Util - Generate Summary |
| z.b.util.diff | Util - DIfference |
| z.c.boxcox | Util - Boxcox |
| z.d.loglik | Util - Log-likelihood |
| z.e.RGBAtoRGB | Util - Function that converts RGBA to RGB |
| z.f.displayRgbImage | Util - function that rasters and displays an image |
| z.g.readImage | Util - function that reads in an image from the given path |
| z.z.util.set.environment | Util - Environment Setting |
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