minboundrect
来源:互联网 发布:淘宝客辅助器 编辑:程序博客网 时间:2024/06/04 01:38
function [rectx,recty,area,perimeter] = minboundrect(x,y,metric)% minboundrect: Compute the minimal bounding rectangle of points in the plane% usage: [rectx,recty,area,perimeter] = minboundrect(x,y,metric)%% arguments: (input)% x,y - vectors of points, describing points in the plane as% (x,y) pairs. x and y must be the same lengths.%% metric - (OPTIONAL) - single letter character flag which% denotes the use of minimal area or perimeter as the% metric to be minimized. metric may be either 'a' or 'p',% capitalization is ignored. Any other contraction of 'area'% or 'perimeter' is also accepted.%% DEFAULT: 'a' ('area')%% arguments: (output)% rectx,recty - 5x1 vectors of points that define the minimal% bounding rectangle.%% area - (scalar) area of the minimal rect itself.%% perimeter - (scalar) perimeter of the minimal rect as found%%% Note: For those individuals who would prefer the rect with minimum% perimeter or area, careful testing convinces me that the minimum area% rect was generally also the minimum perimeter rect on most problems% (with one class of exceptions). This same testing appeared to verify my% assumption that the minimum area rect must always contain at least% one edge of the convex hull. The exception I refer to above is for% problems when the convex hull is composed of only a few points,% most likely exactly 3. Here one may see differences between the% two metrics. My thanks to Roger Stafford for pointing out this% class of counter-examples.%% Thanks are also due to Roger for pointing out a proof that the% bounding rect must always contain an edge of the convex hull, in% both the minimal perimeter and area cases.%%% See also: minboundcircle, minboundtri, minboundsphere%%% default for metricif (nargin<3) || isempty(metric) metric = 'a';elseif ~ischar(metric) error 'metric must be a character flag if it is supplied.'else % check for 'a' or 'p' metric = lower(metric(:)'); ind = strmatch(metric,{'area','perimeter'}); if isempty(ind) error 'metric does not match either ''area'' or ''perimeter''' end % just keep the first letter. metric = metric(1);end% preprocess datax=x(:);y=y(:);% not many error checks to worry aboutn = length(x); if n~=length(y) error 'x and y must be the same sizes'end% start out with the convex hull of the points to% reduce the problem dramatically. Note that any% points in the interior of the convex hull are% never needed, so we drop them.if n>3 edges = convhull(x,y); % 'Pp' will silence the warnings % exclude those points inside the hull as not relevant % also sorts the points into their convex hull as a % closed polygon x = x(edges); y = y(edges); % probably fewer points now, unless the points are fully convex nedges = length(x) - 1; elseif n>1 % n must be 2 or 3 nedges = n; x(end+1) = x(1); y(end+1) = y(1);else % n must be 0 or 1 nedges = n;end% now we must find the bounding rectangle of those% that remain.% special case small numbers of points. If we trip any% of these cases, then we are done, so return.switch nedges case 0 % empty begets empty rectx = []; recty = []; area = []; perimeter = []; return case 1 % with one point, the rect is simple. rectx = repmat(x,1,5); recty = repmat(y,1,5); area = 0; perimeter = 0; return case 2 % only two points. also simple. rectx = x([1 2 2 1 1]); recty = y([1 2 2 1 1]); area = 0; perimeter = 2*sqrt(diff(x).^2 + diff(y).^2); returnend% 3 or more points.% will need a 2x2 rotation matrix through an angle thetaRmat = @(theta) [cos(theta) sin(theta);-sin(theta) cos(theta)];% get the angle of each edge of the hull polygon.ind = 1:(length(x)-1);edgeangles = atan2(y(ind+1) - y(ind),x(ind+1) - x(ind));% move the angle into the first quadrant.edgeangles = unique(mod(edgeangles,pi/2));% now just check each edge of the hullnang = length(edgeangles); area = inf; perimeter = inf;met = inf;xy = [x,y];for i = 1:nang % rotate the data through -theta rot = Rmat(-edgeangles(i)); xyr = xy*rot; xymin = min(xyr,[],1); xymax = max(xyr,[],1); % The area is simple, as is the perimeter A_i = prod(xymax - xymin); P_i = 2*sum(xymax-xymin); if metric=='a' M_i = A_i; else M_i = P_i; end % new metric value for the current interval. Is it better? if M_i<met % keep this one met = M_i; area = A_i; perimeter = P_i; rect = [xymin;[xymax(1),xymin(2)];xymax;[xymin(1),xymax(2)];xymin]; rect = rect*rot'; rectx = rect(:,1); recty = rect(:,2); endend% get the final rect% all doneend % mainline end调用实例% bwim是二值化的图片[r, c]=find(bwim==1)[rectx,recty,area,perimeter] = minboundrect(c,r,'a');imshow(bwim);line(rectx(:),recty(:),'color','r');
1 0
- minboundrect
- matlab的minboundrect.m 函数
- Redis 安装
- 树分治点分治(spoj1825 Free tour II)
- Linux下 Tomcat的安装配置
- Only the original thread that created a view hierarchy can touch its views
- 错误 4 error C2440: “static_cast”: 无法从“void (__thiscall HelloWorld::*
- minboundrect
- appium同时运行两台真机
- hdu 3687 National Day Parade
- 中国近代史
- Python模块学习 --- urllib
- Android好文章
- Mybatis自动生成xml映射
- C#写的windows服务启动失败,1053
- ios图片放大缩小