public static void process(double test, BufferedImage image, String[] args) {
// 2) Transform
if (test == 1) {
SmartConsole.Print("Running Grayscale");
Grayscale.compute(image);
}
if (test == 2) {
SmartConsole.Print("Running Inverse");
Inverse.compute(image);
}
if (test == 3) {
int brightness = Integer.parseInt(args[3]);
SmartConsole.Print("Running Brightness: " + brightness);
Brightness.compute(image, brightness);
}
if (test == 4) {
int treshold = Integer.parseInt(args[3]);
SmartConsole.Print("Running Treshold: " + treshold);
Treshold.compute(image, treshold);
}
if (test == 5.1) {
SmartConsole.Print("Running Histogram Expension ALL");
HistogramExpension.compute_all(image);
}
if (test == 5.2) {
SmartConsole.Print("Running Histogram Expension AVG");
HistogramExpension.compute_avg(image);
}
// Convolution Filter
if (test == 6.1) {
SmartConsole.Print("Running HighPass Filter");
HighPass.compute(image);
}
if (test == 6.2) {
SmartConsole.Print("Running LowPass Filter");
LowPass.compute(image);
}
if (test == 6.3) {
SmartConsole.Print("Running Gaussian Filter");
GaussianFilter.compute(image);
}
if (test == 6.4) {
SmartConsole.Print("Running Sobel Filter");
SobelFilter.compute(image);
}
if (test == 7) {
SmartConsole.Print("Running Finding Pupil");
Pupil.compute(image);
}
if (test == 8) {
SmartConsole.Print("Running KMM");
KMM.compute(image);
}
if (test == 9) {
SmartConsole.Print("Running FeatureExtraction");
FeatureExtraction.compute(image);
}
}