public static void KMeansMethodAndSave(
string sourceFilePath, byte[,,] sourceImage, int numOfClasses, double weightOfPos)
{
byte[,,] resultImage = ImageAreaDivision.KMeansMethod(
sourceImage, numOfClasses, weightOfPos, new Random());
string newFilePath = ProbE.NewFilePath(
sourceFilePath, $"KMeansMethod-{numOfClasses}-{weightOfPos}");
Utility.SaveColorImage(resultImage, newFilePath);
Console.WriteLine($"K-means method done and saved to \'{newFilePath}\'");
}
public static void RegionUnificationMethodAndSave(
string sourceFilePath, byte[,,] sourceImage, double averageDiffThreshold)
{
byte[,,] resultImage = ImageAreaDivision.RegionUnificationMethod(
sourceImage, averageDiffThreshold);
string newFilePath = ProbE.NewFilePath(
sourceFilePath, $"RegionUnificationMethod-{averageDiffThreshold}");
Utility.SaveColorImage(resultImage, newFilePath);
Console.WriteLine($"Region unification method done and saved to \'{newFilePath}\'");
}
