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%?字符分割模塊算法
%?定位剪切后的彩色車牌圖像－－灰度－－二值化－－統(tǒng)一到黑底白字－－去除上下邊框
%?－－切割出最小范圍－－濾波－－形態(tài)學(xué)處理－－分割出7個(gè)字符

%?去除上下邊框算法：
%?1.黑白跳變小于閾值則被視為背景；2.連續(xù)白線大于某閾值則該白線被認(rèn)為是背景
%?3.單行白色大于閾值則被認(rèn)為是背景，考慮FLAG的值；
%?4.做完以上處理后，上邊1/2?中搜索連續(xù)兩條黑線，認(rèn)為該黑線以上為背景；在下邊1/2?中搜索連續(xù)兩條黑線，認(rèn)為該黑線以下為背景
%?歸一化為?40*20?，商用系統(tǒng)程序中歸一化為?32*16?，此處僅演示作用
function?[d]=lpcseg（jpg）
I=imread（‘car.jpg‘）;
I1=rgb2gray（I）;
I2=edge（I1‘robert‘0.15‘both‘）;
se=[1;1;1];
I3=imerode（I2se）;
se=strel（‘rectangle‘[2525]）;
I4=imclose（I3se）;
I5=bwareaopen（I42000）;
[yxz]=size（I5）;
myI=double（I5）;
tic
?white_y=zeros（y1）;
?for?i=1:y
????for?j=1:x
?????????????if（myI（ij1）==1）?
????????????????white_y（i1）=?white_y（i1）+1;?
????????????end??
?????end???????
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