matlab设计车牌定位.zip

function bw2 = removeLargeArea(varargin) %BWAREAOPEN Remove small objects from binary image. % BW2 = BWAREAOPEN(BW,P) removes from a binary image all connected % components (objects) that have fewer than P pixels, producing another % binary image BW2. This operation is known as an area opening. The % default connectivity is 8 for two dimensions, 26 for three dimensions, % and CONNDEF(NDIMS(BW),'maximal') for higher dimensions. % % BW2 = BWAREAOPEN(BW,P,CONN) specifies the desired connectivity. CONN % may have the following scalar values: % % 4 two-dimensional four-connected neighborhood % 8 two-dimensional eight-connected neighborhood % 6 three-dimensional six-connected neighborhood % 18 three-dimensional 18-connected neighborhood % 26 three-dimensional 26-connected neighborhood % % Connectivity may be defined in a more general way for any dimension by % using for CONN a 3-by-3-by- ... -by-3 matrix of 0s and 1s. The % 1-valued elements define neighborhood locations relative to the center % element of CONN. CONN must be symmetric about its center element. % % Class Support % ------------- % BW can be a logical or numeric array of any dimension, and it must be % nonsparse. % % BW2 is logical. % % Example % ------- % Remove all objects in the image text.png containing fewer than 50 % pixels. % % BW = imread('text.png'); % BW2 = bwareaopen(BW,50); % imshow(BW); % figure, imshow(BW2) % % See also BWCONNCOMP, CONNDEF, REGIONPROPS. % Copyright 1993-2011 The MathWorks, Inc. % $Revision: 1.10.4.9 $ $Date: 2011/11/09 16:48:52 $ % Input/output specs % ------------------ % BW: N-D real full matrix % any numeric class % sparse not allowed % anything that's not logical is converted first using % bw = BW ~= 0 % Empty ok % Inf's ok, treated as 1 % NaN's ok, treated as 1 % % P: double scalar % nonnegative integer % % CONN: connectivity % % BW2: logical, same size as BW % contains only 0s and 1s. [bw,p,conn] = parse_inputs(varargin{:}); CC = bwconncomp(bw,conn); area = cellfun(@numel, CC.PixelIdxList); idxToKeep = CC.PixelIdxList(area <= p); idxToKeep = vertcat(idxToKeep{:}); bw2 = false(size(bw)); bw2(idxToKeep) = true; %%% %%% parse_inputs %%% function [bw,p,conn] = parse_inputs(varargin) narginchk(2,3) bw = varargin{1}; validateattributes(bw,{'numeric' 'logical'},{'nonsparse'},mfilename,'BW',1); if ~islogical(bw) bw = bw ~= 0; end p = varargin{2}; validateattributes(p,{'double'},{'scalar' 'integer' 'nonnegative'},... mfilename,'P',2); if (nargin >= 3) conn = varargin{3}; else conn = conndef(ndims(bw),'maximal'); end iptcheckconn(conn,mfilename,'CONN',3)