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plotClusters.m
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plotClusters.m
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function plotClusters(image,coords,M,args)
%% Processing args
if ~isfield(args,'printGroupId')
args.printGroupId=false;
end
if ~isfield(args,'printCenter')
args.printCenter=false;
end
if ~isfield(args,'fillAlpha')
args.fillAlpha=.25;
end
if ~isfield(args,'lineWidth')
args.lineWidth=4;
end
if ~isfield(args,'lineAlpha')
args.lineAlpha=.5;
end
if ~isfield(args,'useBlackLine')
args.useBlackLine=true;
end
if ~isfield(args,'plotPoints')
args.plotPoints=false;
end
if ~isfield(args,'plotDelaunay')
args.plotDelaunay=false;
end
if ~isfield(args,'plotVoronoi')
args.plotVoronoi=false;
end
if ~isfield(args,'plotCenterGrouping')
args.plotCenterGrouping=false;
end
printGroupId=args.printGroupId;
fillAlpha=args.fillAlpha;
lineWidth=args.lineWidth;
lineAlpha=args.lineAlpha;
useBlackLine=args.useBlackLine;
plotPoints=args.plotPoints;
printCenter=args.printCenter;
plotVoronoi=args.plotVoronoi;
plotDelaunay=args.plotDelaunay;
plotCenterGrouping=args.plotCenterGrouping;
%%
colors={'b','y','g','r','c','m','w'};
numGroups=length(coords);
imshow(image);
hold on;
for k = 1:numGroups
matrix=M{k};
nodes=coords{k};
[~,~,clusters] = networkComponents(matrix);
clusters(cellfun(@length,clusters)<=2)=[];
numClusters=length(clusters);
cent=[];
for i = 1:numClusters
member = clusters{i};
col = nodes(member,1);
row = nodes(member,2);
[pol,a] = convhull(col,row);
%if a>30000
x=col(pol);
y=row(pol);
cent=[cent;[mean(x) mean(y)]];
s=plot(x,y,colors{k},'LineWidth',lineWidth);
s.Color(4)=lineAlpha;
if fillAlpha>0
f=fill(x,y,colors{k},'LineStyle','none');
set(f,'facealpha',fillAlpha)
end
if useBlackLine
plot(x,y,'k','LineWidth',1);
end
%end
end
if ~isempty(cent)
if printGroupId
text(cent(:,1),cent(:,2),num2str(k),'Color','black','FontSize',20);
end
if printCenter
scatter(cent(:,1),cent(:,2),100,[colors{k} 'o'],'filled');
end
if plotPoints
scatter(nodes(:,1),nodes(:,2),100,[colors{k+1} 'o'],'filled');
end
if plotDelaunay
DT=delaunay(cent(:,1),cent(:,2));
triplot(DT,cent(:,1),cent(:,2),'c-','LineWidth',3);
end
if plotVoronoi
[vx,vy]=voronoi(cent(:,1),cent(:,2));
plot(cent(:,1),cent(:,2),'g*',vx,vy,'g-','LineWidth',5);
end
if plotCenterGrouping
vect=getSumNodeWeightsThreshold( cent,'euclidean',.0005);
vect=normalizeVector(vect);
for i=1:size(cent,1)
hsl=getColorHeatMap(vect(i));
rgb=hsl2rgb(hsl);
plot(cent(i,1),cent(i,2),'or',...
'MarkerSize',15,...
'MarkerEdgeColor',[0,0,0],...
'MarkerFaceColor',[rgb(1,1,1),rgb(1,1,2),rgb(1,1,3)]);%,...
%text(nucleiCentroids(i,1),nucleiCentroids(i,2), sprintf('%d',i), 'Color', 'b')
end
end
end
end
hold off;
end