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Plot on an image- addMarkerLines2Img

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Plot on an image- addMarkerLines2Img

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09 Jul 2012 (Updated )

Plot a curve line/points on an image

poly=mask2poly(mask, countourType, sortPointsMethod)
function poly=mask2poly(mask, countourType, sortPointsMethod)
%% function poly=mask2poly(mask)
% Finds a polygon enclosing the user defind mask of logicals. Kind of a
%  reverse/complementary of Matlab poly2mask function.
%
%% Syntax
% poly=mask2poly(mask);
% poly=mask2poly(mask,countourType);
% poly=mask2poly(mask,countourType,sortPointsMethod);
%
%% Description
% This functions goal is to find a poligon which enclosures a user supplied mask. It's a
%  kind of a complementary of Matlab poly2mask function. The difference is that all
%  contour points are returned- wihout missing points for linearly related points. In
%  order to get a 100% complementary of poly2mask all points inside straight lines shoud
%  be ommited. In my case I actually need all those points, as indexs of ROI. 
%  Combinng mask2poly with poly2mask the user can produce a mask from a contour (line with
%  X and Y coordinates), and vise-versa.
%
%% Input arguments:
% mask- two dimentional matrix of numbers (all numeric types are supported, though mask is
%  usally a matix of logicals).
%
% countourType- {['Inner'],'Outer','Exact'} a string describing the desired contour type.
%  'Inner' (default) will result in a contour inside the mask- the largest shape included
%     by the mask.
%  'Outer' will result in a contour ouside the mask- the smallest shape including by the
%     mask.
%  'Exact' option will result in a contour between 'Inner' and 'Outer', and it lies
%     exactly on the mask margins. 
% Both 'Outer' and 'Inner' results are integers, ready to be used for indexing.
% so it can be used for indexing, as oposed to 'Exact' results which are doubles, and
% cannot be used for indexing.
%
% sortPointsMethod- two methds are currently implemented:
%  'CW'- Clock Wise- an efficinet and fast, but can create "saw tooth" shaped contour.
%  'MINDIST'- minimal diatnce between points- will usally result in a better contour,
%     without "saw tooth" shaped contour. But the price to pay is ~X20 times slower run
%     time.
% other value of sortPointsMethod will skip sorting points.
%
%% Output arguments
% poly- Two dimentional [N,2] matirx with coordinates of all points of the contour. Each
%  point is described by an appropriate row. X is described by the first column, Y by the
%  second.
%
%% Issues & Comments (None)
%
%% Example
% x = [76    51    82    97   118   167   180   145   113    92  76];
% y = [41    73   115    80   143   173   120    57    40    33  41];
% mask = poly2mask(x,y,200,200);
% figure;
% imshow(mask);
% hold on;
% poly=mask2poly(mask,'Inner','CW');
% plot(poly(:,1),poly(:,2),'v-g','MarkerSize',9,'LineWidth',4);
% poly=mask2poly(mask,'Inner','MinDist');
% plot(poly(:,1),poly(:,2),'s-k','MarkerSize',12,'LineWidth',2);
% poly=mask2poly(mask,'Outer');
% plot(poly(:,1),poly(:,2),'*m','MarkerSize',9);
% poly=mask2poly(mask,'Exact');
% plot(poly(:,1),poly(:,2),'.r','MarkerSize',18);
% 
% plot(x,y,'O-b','MarkerSize',12,'LineWidth',3);
% hold off;
% legend('mask2poly- Inner- CCW','mask2poly- Inner- MinDist','mask2poly- Outer','mask2poly- Exact','poly2mask');
% title('mask2poly Vs. poly2mask','FontSize',14);
%
%% See also
% poly2mask;            % Matlab function
% imrect;               % Matlab function
% imroi;                % Matlab function
% sortPoint2ContourCW   % Custom function
% sortPointMinDist      % Custom function
%
%% Revision history
% First version: Nikolay S. 2011-07-07.
% Last update:   Nikolay S. 2011-07-25.
%
% *List of Changes:*
%   ------------------2011-07-25-------------------------
% - Ordering points accourding to rule of "nearest point" (acurate but slow) added.
%   ------------------2011-07-14-------------------------
% - An option to reorder the points so it will define a CW contour.
%   ------------------2011-07-13-------------------------
% - "Inner" and "Outer" options replaced isIndex option
% - Diff based edges calculation replaced contour based calculation for "Inner" and
%  "Outer" options, which resulted in ~x3 shorter run time.
% 

if nargin<3
   sortPointsMethod='None';
   if nargin<2
      countourType='Inner'; %{'Inner','Outer','Exact'}
   end
end

%% Pad mask to deal with edges on contours
paddedMask=false(2+size(mask));
paddedMask(1+(1:size(mask,1)),1+(1:size(mask,2)),:)=mask;
doubleMask=double(paddedMask);
countourType=upper(countourType);

switch (countourType)
   case({'INNER','OUTER'})
      %% Caculate via Gradient fast but up-to indesx exact 
      maskEdges=abs(doubleMask-circshift(doubleMask,[1,0,0]))+...
         abs(doubleMask-circshift(doubleMask,[0,1,0]))+...
         abs(doubleMask-circshift(doubleMask,[-1,0,0]))+...
         abs(doubleMask-circshift(doubleMask,[0,-1,0]));
      if strcmpi(countourType,'OUTER')
         paddedMask=~paddedMask; % Outer edges mark
      end
      [edgeRows,edgeCols]=find(maskEdges>0 & paddedMask);
      maskContours=cat(2,edgeCols,edgeRows); 
      
      switch(upper(sortPointsMethod))
         case('CW')
            [xCW,yCW]=sortPoint2ContourCW(maskContours(:,1),maskContours(:,2));
            maskContours=cat(2,xCW,yCW);
         case('MINDIST')
            [xCW,yCW]=sortPointMinDist(maskContours(:,1),maskContours(:,2));
            maskContours=cat(2,xCW,yCW);
      end % switch(upper(sortPointsMethod))
      
   otherwise
      %% Caculate via contour- slow yet accurate and easy to implement
      contourTresh=0.5*max(doubleMask(:));
      maskContours=contourc(doubleMask,[contourTresh,contourTresh]);
      maskContours=transpose(maskContours); % Convert to standart Pos coordinates system
end

%% Fix the inacurities caused by padding
maskContours=maskContours-1;

poly=maskContours;

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