《visual c++matlab图像处理与识别实用案例精选》源码

				I=imread('Car.jpg');
				[y,x,z]=size(I);
				myI=double(I);
				%%%%%%%%%%% RGB to HSI  %%%%%%%%
				tic   % 测定算法执行的时间，开始计时
				
				%%%%%%%%%%% 统计分析 %%%%%%%%%%%%%%%
				%%%%%%%% Y 方向 %%%%%%%%%%
				Blue_y=zeros(y,1);
				for i=1:y
				    for j=1:x
				            if((myI(i,j,1)				% 蓝色RGB的灰度范围
				               Blue_y(i,1)= Blue_y(i,1)+1;     % 蓝色象素点统计          
				           end  
				    end       
				end
				[temp MaxY]=max(Blue_y);        % Y方向车牌区域确定
				PY1=MaxY;
				while ((Blue_y(PY1,1)>=5)&&(PY1>1))
				       PY1=PY1-1;
				end    
				PY2=MaxY;
				while ((Blue_y(PY2,1)>=5)&&(PY2				       PY2=PY2+1;
				end
				IY=I(PY1:PY2,:,:);
				
				%%%%%%%% X 方向 %%%%%%%%%% 
				Blue_x=zeros(1,x);             % 进一步确定X方向的车牌区域
				for j=1:x
				    for i=PY1:PY2
				            if((myI(i,j,1)				               Blue_x(1,j)= Blue_x(1,j)+1;               
				           end  
				    end       
				end
				
				PX1=1;
				while ((Blue_x(1,PX1)				       PX1=PX1+1;
				end    
				PX2=x;
				while ((Blue_x(1,PX2)PX1))
				       PX2=PX2-1;
				end
				PX1=PX1-2; % 对车牌区域的修正
				PX2=PX2+2;
				
				Plate=I(PY1:PY2,PX1-2:PX2,:);
				t=toc % 读取计时
				%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
				figure,imshow(I);
				figure,plot(Blue_y);grid
				figure,plot(Blue_x);grid
				figure,imshow(IY);
				figure,imshow(Plate);