基于matlab的復(fù)雜背景車牌識別檢測系統(tǒng)設(shè)計(編輯修改稿)
2024-07-24 17:51 本頁面
【文章內(nèi)容簡介】 60。%使用一個3X3的正方形結(jié)果元素對象對創(chuàng)建的圖像進(jìn)行膨脹%39。line39。/39。diamond39。/39。ball39。...se=eye(2)。%eye(n)returnsthenbynidentitymatrix單位矩陣[m,n]=size(d)。ifbwarea(d)/m/n=d=imerode(d,se)。elseifbwarea(d)/m/n=d=imdilate(d,se)。endimwrite(d,39。39。)。figure(8),subplot(3,2,5),imshow(d),title(39。39。)%尋找連續(xù)有文字的塊，若長度大于某閾值，則認(rèn)為該塊有兩個字符組成，需要分割d=qiege(d)。[m,n]=size(d)。figure,subplot(2,1,1),imshow(d),title(n)k1=1。k2=1。s=sum(d)。j=1。whilej~=nwhiles(j)==0j=j+1。endk1=j。whiles(j)~=0amp。amp。j=n1j=j+1。endk2=j1。ifk2k1=round(n/)[val,num]=min(sum(d(:,[k1+5:k25])))。d(:,k1+num+5)=0。%分割endend%再切割d=qiege(d)。%切割出7個字符y1=10。y2=。flag=0。word1=[]。whileflag==0[m,n]=size(d)。left=1。wide=0。whilesum(d(:,wide+1))~=0wide=wide+1。endifwidey1%認(rèn)為是左側(cè)干擾d(:,[1:wide])=0。d=qiege(d)。elsetemp=qiege(imcrop(d,[11widem]))。[m,n]=size(temp)。all=sum(sum(temp))。two_thirds=sum(sum(temp([round(m/3):2*round(m/3)],:)))。iftwo_thirds/ally2flag=1。word1=temp。%WORD1endd(:,[1:wide])=0。d=qiege(d)。endend%分割出第二個字符[word2,d]=getword(d)。%分割出第三個字符[word3,d]=getword(d)。%分割出第四個字符[word4,d]=getword(d)。%分割出第五個字符[word5,d]=getword(d)。%分割出第六個字符[word6,d]=getword(d)。%分割出第七個字符[word7,d]=getword(d)。subplot(5,7,1),imshow(word1),title(39。139。)。subplot(5,7,2),imshow(word2),title(39。239。)。subplot(5,7,3),imshow(word3),title(39。339。)。subplot(5,7,4),imshow(word4),title(39。439。)。subplot(5,7,5),imshow(word5),title(39。539。)。subplot(5,7,6),imshow(word6),title(39。639。)。subplot(5,7,7),imshow(word7),title(39。739。)。[m,n]=size(word1)。%商用系統(tǒng)程序中歸一化大小為40*20,此處演示word1=imresize(word1,[4020])。word2=imresize(word2,[4020])。word3=imresize(word3,[4020])。word4=imresize(word4,[4020])。word5=imresize(word5,[4020])。word6=imresize(word6,[4020])。word7=imresize(word7,[4020])。subp
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