public List <AnalysisResult> Analyze(Bitmap emptyContainer, Bitmap fullContainer)
{
var results = new List <AnalysisResult>()
{
new AnalysisResult()
{
Name = "Empty",
Image = emptyContainer
},
new AnalysisResult()
{
Name = "Full",
Image = fullContainer
},
};
var diff = new AnalysisResult()
{
Name = "Diff",
Image = CalculateDiff(emptyContainer, fullContainer)
};
var normalizer = new Normalyzer();
var normDiff = new AnalysisResult()
{
Name = "DiffNormalized",
Image = normalizer.Normalize(diff.Image)
};
results.Add(diff);
results.Add(normDiff);
return(results);
}
public List <AnalysisResult> Analyze(IEncoder encoder)
{
var results = new List <AnalysisResult>()
{
new AnalysisResult()
{
Name = "Red",
Image = encoder.Encode(Text, CreateContainer(Color.FromArgb(255, 255, 0, 0)))
},
new AnalysisResult()
{
Name = "Green",
Image = encoder.Encode(Text, CreateContainer(Color.FromArgb(255, 0, 255, 0)))
},
new AnalysisResult()
{
Name = "Blue",
Image = encoder.Encode(Text, CreateContainer(Color.FromArgb(255, 0, 0, 255)))
},
new AnalysisResult()
{
Name = "Black",
Image = encoder.Encode(Text, CreateContainer(Color.FromArgb(255, 0, 0, 0)))
},
new AnalysisResult()
{
Name = "White",
Image = encoder.Encode(Text, CreateContainer(Color.FromArgb(255, 255, 255, 255)))
},
new AnalysisResult()
{
Name = "Gray",
Image = encoder.Encode(Text, CreateContainer(Color.Gray))
},
new AnalysisResult()
{
Name = "CornflowerBlue",
Image = encoder.Encode(Text, CreateContainer(Color.CornflowerBlue))
}
};
var normalizer = new Normalyzer();
var normalized = results.Select(r => new AnalysisResult()
{
Name = "NORM_" + r.Name, Image = normalizer.Normalize(r.Image)
});
return(results.Concat(normalized).ToList());
}
