matlab-(含教程)基于形态学处理的车牌定位和车牌提取matlab仿真

clc; clear; close all; warning off; addpath(genpath(pwd)); rng('default') I = imread('car.jpg'); figure,imshow(I) I2 = rgb2gray(I); I4 = im2bw(I2, 0.2); bw = bwareaopen(I4, 500); se = strel('disk',15); bw = imclose(bw,se); bw = imfill(bw,[1 1]); [B,L] = bwboundaries(bw,4); figure,imshow(label2rgb(L, @jet, [.5 .5 .5])) hold on for k = 1:length(B) boundary = B{k}; plot(boundary(:,2),boundary(:,1),'w','LineWidth',2) end % 找到每个连通域的质心 stats = regionprops(L,'Area','Centroid'); for k = 1:length(B) % 获取一条边界上的所有点 boundary = B{k}; % 计算边界周长 delta_sq = diff(boundary).^2; perimeter = sum(sqrt(sum(delta_sq,2))); % 获取边界所围面积 area = stats(k).Area; % 计算匹配度 metric = 27*area/perimeter^2; % 要显示的匹配度字串 metric_string = sprintf('%2.2f',metric); % 标记出匹配度接近1的连通域 if metric >= 0.9 && metric <= 1.1 centroid = stats(k).Centroid; plot(centroid(1),centroid(2),'ko'); % 提取该连通域所对应在二值图像中的矩形区域 goalboundary = boundary; s = min(goalboundary, [], 1); e = max(goalboundary, [], 1); goal = imcrop(I4,[s(2) s(1) e(2)-s(2) e(1)-s(1)]); end % 显示匹配度字串 text(boundary(1,2)-35,boundary(1,1)+13,metric_string,'Color','g','FontSize',14,'FontWeight','bold'); end goal = ~goal; goal(256,256) = 0; w = imread('P.bmp'); w = ~w; C=real(ifft2(fft2(goal).*fft2(rot90(w,2),256,256))); thresh = 240; figure(3),subplot (1, 2, 1) ;imshow (goal) ;subplot (1, 2, 2) ;imshow(C > 0.15*thresh)