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183 lines (147 loc) · 7.69 KB
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ResultWriter.m
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183 lines (147 loc) · 7.69 KB
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classdef ResultWriter
properties
ImagePath
SegmentationMethod
SaveStepImages
end
methods
function obj = ResultWriter(imagePath, segmentationMethod, saveStepImages)
obj.ImagePath = imagePath;
obj.SegmentationMethod = segmentationMethod;
obj.SaveStepImages = saveStepImages;
end
function SaveImage(obj, image, fileName)
resultDirectory = obj.GetResultDirectory();
filePath = Path.Combine(resultDirectory, fileName);
requiredDirectory = Path.GetDirectory(filePath);
Directory.Create(requiredDirectory);
imwrite(image, filePath);
end
function SaveStepImage(obj, image, fileName)
if obj.SaveStepImages
fileWithSubDirectory = Path.Combine('Steps', fileName);
obj.SaveImage(image, fileWithSubDirectory);
end
end
function resultDirectory = GetResultDirectory(obj)
fileName = strrep(obj.ImagePath, 'Images', 'Results');
splits = split(fileName, '.');
resultDirectory = Path.Combine(splits{1}, obj.SegmentationMethod);
end
% --- writes grains data to file
function WriteDataToFile(obj, hObject)
h = guidata(hObject);
resultDirectory = obj.GetResultDirectory();
fileName = Path.Combine(resultDirectory, 'log.txt');
file = fopen(fileName, 'wt');
splited = split(h.imageInfoContainer.SelectedImage, ' ');
imageName = splited(length(splited));
fprintf(file, 'Image ID: %s\n', string(imageName));
fprintf(file, 'Method: ');
if h.binarizationFlag.Value
fprintf(file, 'Binarization\n\n');
fprintf(file, '----------------\n');
fprintf(file, 'Method parameters:\n');
fprintf(file, 'Opening radius: %g\n', Utils.GetValue(h.radiusVal));
fprintf(file, 'Binarization threshold: %g\n', Utils.GetValue(h.binThVal));
elseif h.cannyFlag.Value
fprintf(file, 'Canny edge detection\n');
fprintf(file, '----------------\n');
fprintf(file, 'Method parameters:\n');
fprintf(file, 'Opening radius: %g\n', Utils.GetValue(h.radiusVal));
fprintf(file, 'Low threshold: %g\n', Utils.GetValue(h.lowThVal));
fprintf(file, 'High threshold: %g\n', Utils.GetValue(h.highThVal));
fprintf(file, 'Sigma: %g\n', Utils.GetValue(h.sigmaVal));
else h.waterFlag.Value
fprintf(file, 'Watershed\n');
fprintf(file, '----------------\n');
fprintf(file, 'Method parameters:\n');
fprintf(file, 'Opening radius: %g\n', Utils.GetValue(h.radiusVal));
sharpRadius = Utils.GetValue(h.sharpRadiusVal);
if h.sharpenRadiusFlag.Value == false
sharpRadius = 0;
end
fprintf(file, 'Sharpening radius: %g\n', sharpRadius);
fprintf(file, 'Low threshold: %g\n', Utils.GetValue(h.waterLowThVal));
fprintf(file, 'High threshold: %g\n', Utils.GetValue(h.waterHighThVal));
fprintf(file, 'Sigma: %g\n', Utils.GetValue(h.waterSigmaVal));
fprintf(file, 'Gaussian filtering sigma: %g\n', Utils.GetValue(h.gaussSigmaVal));
fprintf(file, 'Gaussian filtering size: %g\n', Utils.GetValue(h.filterVal));
fprintf(file, 'Binarization threshold: %g\n', Utils.GetValue(h.binWaterThVal));
end
fprintf(file, '\n----------------\n');
fprintf(file, 'Filtering:\n');
fprintf(file, 'Min diameter: %g\n', Utils.GetValue(h.minDiameterVal));
fprintf(file, 'Max diameter: %g\n', Utils.GetValue(h.maxDiameterVal));
fprintf(file, 'Min circularity: %g\n\n', Utils.GetValue(h.circularityVal));
fprintf(file, '\n----------------\n');
fprintf(file, 'Num of manualy deleted grains: %g\n\n', h.GrainsDeletedManualy);
fprintf(file, '\n----------------\n');
fprintf(file, 'Number of detected grains: %g\n', Utils.GetValue(h.detectedCountVal));
fprintf(file, 'Number of grains after filtering: %g\n', h.Params.Number);
fprintf(file, 'Number of well detected grains: %g\n', length(h.WellDetectedGrains));
fprintf(file, '\n----------------\n');
fprintf(file, 'In pixels:\n');
fprintf(file, 'Median\nMean\nStandard devation\n\n');
dataMatrix = [h.Params.Diameter;
h.Params.ShortAxis;
h.Params.LongAxis;
h.Params.Circularity;
h.Params.Ratio];
dataTypes = ["Diameter", "Short axis", "Long axis", "Circularity", "Aspect ratio"];
for i = 1 : size(dataMatrix, 1)
data = dataMatrix(i,:);
fprintf(file, '%s:\n', dataTypes(i));
fprintf(file, '%g\n', data(1));
fprintf(file, '%g\n', data(2));
fprintf(file, '%g\n', data(3));
fprintf(file, '\n');
end
fprintf(file, '----------------\n');
fprintf(file, 'In MMs:\n');
fprintf(file, 'Median\nMean\nStandard devation\n\n');
dataMatrix = [Converter.PixelsToMilimeters(h.Params.Diameter);
Converter.PixelsToMilimeters(h.Params.ShortAxis);
Converter.PixelsToMilimeters(h.Params.LongAxis);
h.Params.Circularity; h.Params.Ratio];
for i = 1 : size(dataMatrix, 1)
data = dataMatrix(i,:);
fprintf(file, '%s:\n', dataTypes(i));
fprintf(file, '%g\n', data(1));
fprintf(file, '%g\n', data(2));
fprintf(file, '%g\n', data(3));
fprintf(file, '\n');
end
fprintf(file, '\n-----------------------------------------\n');
fprintf(file, 'Granulometry data:\n');
fprintf(file, '\n');
fprintf(file, '< 0.5\t:\t%g\n', h.Params.Granulometry(1));
fprintf(file, '0.5 >=\t:\t%g\n', h.Params.Granulometry(2));
fprintf(file, '0.71 >=\t:\t%g\n', h.Params.Granulometry(3));
fprintf(file, '1.0 >=\t:\t%g\n', h.Params.Granulometry(4));
fprintf(file, '1.4 >=\t:\t%g\n', h.Params.Granulometry(5));
fprintf(file, '2.0 >=\t:\t%g\n', h.Params.Granulometry(6));
fprintf(file, '2.8 >=\t:\t%g\n', h.Params.Granulometry(7));
fprintf(file, '4.0 >=\t:\t%g\n', h.Params.Granulometry(8));
fclose(file);
end
% --- writes grains data to file
function WriteGrainsToFile(obj, hObject)
h = guidata(hObject);
resultDirectory = obj.GetResultDirectory();
fileName = Path.Combine(resultDirectory, 'data.xls');
if isfile(fileName)
delete(fileName);
end
Index = [1:1:h.Params.Number].';
EquivDiameter = h.Params.DiametersList.';
Perimeter = h.Params.Perimeters.';
Area = h.Params.Area.';
MinorAxis = h.Params.ShortAxisList.';
MajorAxis = h.Params.LongAxisList.';
Circularity = h.Params.CircularityList.';
T = table(Index, EquivDiameter, Perimeter, Area, MinorAxis, MajorAxis, Circularity);
writetable(T, fileName);
end
end
end