function [cn, on] = inpoly(p, node, edge, reltol) %*****************************************************************************80 % % INPOLY: Point-in-polygon testing. % % Determine whether a series of points lie within the bounds of a polygon % in the 2D plane. General non-convex, multiply-connected polygonal % regions can be handled. % % SHORT SYNTAX: % % in = inpoly(p, node); % % p : The points to be tested as an Nx2 array [x1 y1; x2 y2; etc]. % node: The vertices of the polygon as an Mx2 array [X1 Y1; X2 Y2; etc]. % The standard syntax assumes that the vertices are specified in % consecutive order. % % in : An Nx1 logical array with IN(i) = TRUE if P(i,:) lies within the % region. % % LONG SYNTAX: % % [in, on] = inpoly(p, node, edge, tol); % % edge: An Mx2 array of polygon edges, specified as connections between % the vertices in NODE: [n1 n2; n3 n4; etc]. The vertices in NODE % do not need to be specified in connsecutive order when using the % extended syntax. % % on : An Nx1 logical array with ON(i) = TRUE if P(i,:) lies on a % polygon edge. (A tolerance is used to deal with numerical % precision, so that points within a distance of % reltol*min(bbox(node)) from a polygon edge are considered "on" the % edge. % % EXAMPLE: % % polydemo; % Will run a few examples % % See also INPOLYGON % The algorithm is based on the crossing number test, which counts the % number of times a line that extends from each point past the right-most % region of the polygon intersects with a polygon edge. Points with odd % counts are inside. A simple implementation of this method requires each % wall intersection be checked for each point, resulting in an O(N*M) % operation count. % % This implementation does better in 2 ways: % % 1. The test points are sorted by y-value and a binary search is used to % find the first point in the list that has a chance of intersecting % with a given wall. The sorted list is also used to determine when we % have reached the last point in the list that has a chance of % intersection. This means that in general only a small portion of % points are checked for each wall, rather than the whole set. % % 2. The intersection test is simplified by first checking against the % bounding box for a given wall segment. Checking against the bbox is % an inexpensive alternative to the full intersection test and allows % us to take a number of shortcuts, minimising the number of times the % full test needs to be done. % % Author: % % Darren Engwirda % %% ERROR CHECKING %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if nargin<4 reltol = 1.0e-12; if nargin<3 edge = []; if nargin<2 error('Insufficient inputs'); end end end nnode = size(node,1); if isempty(edge) % Build edge if not passed edge = [(1:nnode-1)' (2:nnode)'; nnode 1]; end if size(p,2)~=2 error('P must be an Nx2 array.'); end if size(node,2)~=2 error('NODE must be an Mx2 array.'); end if size(edge,2)~=2 error('EDGE must be an Mx2 array.'); end if max(edge(:))>nnode || any(edge(:)<1) error('Invalid EDGE.'); end %% PRE-PROCESSING %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% n = size(p,1); nc = size(edge,1); % Choose the direction with the biggest range as the "y-coordinate" for the % test. This should ensure that the sorting is done along the best % direction for long and skinny problems wrt either the x or y axes. dxy = max(p,[],1)-min(p,[],1); if dxy(1)>dxy(2) % Flip co-ords if x range is bigger p = p(:,[2,1]); node = node(:,[2,1]); end % Polygon bounding-box dxy = max(node,[],1)-min(node,[],1); tol = reltol*min(dxy); if tol==0.0 tol = reltol; end % Sort test points by y-value [y,i] = sort(p(:,2)); x = p(i,1); %% MAIN LOOP %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% cn = false(n,1); % Because we're dealing with mod(cn,2) we don't have % to actually increment the crossing number, we can % just flip a logical at each intersection (faster!) on = cn; for k = 1:nc % Loop through edges % Nodes in current edge n1 = edge(k,1); n2 = edge(k,2); % Endpoints - sorted so that [x1,y1] & [x2,y2] has y1<=y2 % - also get xmin = min(x1,x2), xmax = max(x1,x2) y1 = node(n1,2); y2 = node(n2,2); if y1x2 xmin = x2; xmax = x1; else xmin = x1; xmax = x2; end % Binary search to find first point with y<=y1 for current edge if y(1)>=y1 start = 1; elseif y(n)=xmin if X<=xmax % Check if we're "on" the edge on(j) = on(j) || (abs((y2-Y)*(x1-X)-(y1-Y)*(x2-X))<=tol); % Do the actual intersection test if (Yy % value need to be checked break end end end % Re-index to undo the sorting cn(i) = cn|on; on(i) = on; end % inpoly()