public double GetInternalDifferenceAssessment()
{
AssesmentsSegment[] segments = SegmentedSetConverter.ConvertToAssessmentSegments(m_segmentedSet, m_height, m_width, m_arrayImageCopy, m_colorSheme);
SumOfTheInternalDispersionsAssessment assessment = new SumOfTheInternalDispersionsAssessment();
return(assessment.GeAssessment(segments, m_colorSheme));
}
public string CalcAssessments()
{
System.Diagnostics.Debug.WriteLine("===Начало оценивания качества сегментации===" + DateTime.Now);
string s = string.Empty;
AssesmentsSegment[] segments = SegmentedSetConverter.ConvertToAssessmentSegments(m_segmentedSet, m_height, m_width, m_arrayImageCopy, m_colorSheme);
AssessmentBase[] assesments = AssessmentsHelper.GetAllAssessments();
for (int i = 0; i < assesments.Length; i++)
{
//assesments[i].name = $"Оцінка {i}";
double value = assesments[i].GeAssessment(segments, m_colorSheme);
s += $"{assesments[i].name}: {value.ToString("0.00")}" + Environment.NewLine + Environment.NewLine;
System.Diagnostics.Debug.WriteLine($"Оценка {i} готова. " + DateTime.Now);
}
return(s);
}
public Bitmap DoSegmentation(double[,,] arrayImage, double sigma, double k, int minSize, IColorSheme colorSheme)
{
m_height = arrayImage.GetLength(1);
m_width = arrayImage.GetLength(2);
//debug
System.Diagnostics.Debug.WriteLine("Reading done: " + DateTime.Now);
m_colorSheme = colorSheme;
//препроцессинг иображения
arrayImage = colorSheme.Convert(arrayImage);
//сохранение для проведения оценки качества сегментации
m_arrayImageCopy = (double[, , ])arrayImage.Clone();
//debug
System.Diagnostics.Debug.WriteLine("color sheme changed: " + DateTime.Now);
//DebugImageInfo(arrayImage);
//smoothing
GaussianBlur gaussianBlur = new GaussianBlur();
double[][] filter = gaussianBlur.getKernel(sigma);
double[,,] blurredImage = DoubleArrayImageOperations.ConvolutionFilter(arrayImage, filter);
//debug
System.Diagnostics.Debug.WriteLine("Smooting done: " + DateTime.Now);
//тест размещения преобразования цвета
//arrayImage = colorSheme.Convert(arrayImage);
//построение графа
Edge[] edges = buildGraphByImage(blurredImage)
.OrderBy(el => el.w)
.ToArray();
//debug
System.Diagnostics.Debug.WriteLine("graph builded: " + DateTime.Now);
//debugging
System.Diagnostics.Debug.WriteLine("edges total: " + edges.Length);
//double minWeight = edges.Min(el => el.w);
//double maxWeight = edges.Max(el => el.w);
//Edge[] EdgesMoreThanMin = edges.Where(el => el.w > minWeight + 0.1).ToArray();
//Edge[] EdgesZeroWidth = edges.Where(el => el.w < 0.01).ToArray();
//
//Edge[] edgesHor = edges.Where(el => el.neightbourType == NeightbourType.Horizontal).ToArray();
//Edge[] edgesVer = edges.Where(el => el.neightbourType == NeightbourType.Vertical).ToArray();
//Edge[] edgesTopDiag = edges.Where(el => el.neightbourType == NeightbourType.TopDiagonal).ToArray();
//Edge[] edgesBottom = edges.Where(el => el.neightbourType == NeightbourType.BottomDiagonal).ToArray();
//сегментированный лес непересекающихся деревьев
DisjointSet segmentedSet = SegmentOnDisjointSet(k, m_height * m_width, edges); //картинка тут только для передачи размера потому осталась arrayImage
//запоминание в поле для проведения оценки
m_segmentedSet = segmentedSet;
//debug
System.Diagnostics.Debug.WriteLine("Segmented: " + DateTime.Now);
//присоеденить те, что меньше min_size к соседу по ребру
PostProcessSmallComponents(edges, segmentedSet, minSize);
//debug
System.Diagnostics.Debug.WriteLine("Small Component Merged: " + DateTime.Now);
return(SegmentedSetConverter.ConvertToBitmap(segmentedSet, m_height, m_width, out m_componentLength));
//var a = SegmentedSetConverter.ConvertToRealCoordsSegments(segmentedSet, height, width);
//return SegmentedSetConverter.RealCoordsSegmentResultToBitmap(a);
}
