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MATLAB代做|FPGA代做--车牌识别的matlab仿真

时间:2018-10-3 0:11:15 点击:

  核心提示:matlab代做,FPGA代做,淘宝,专业代做MATLAB、FPGA博士/硕士/本科课题仿真、项目仿真、Coursework、Assignment QQ: 1224848052...

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资源简介:

MATLAB程序下载——一基于MATLAB的-车牌识别的matlab仿真。

function [y_image] = extract_yellow_region(image);

% extract_yellow_region: Determines the yellow regions in the picture using

% the CIE-XYZ color system, and returns a black and white picture which is

% set on the yellow regions only.


% Define the lines in CIE-XYZ space, use to determine yellow color 

lower_A = 0.87; lower_B = 0.04;

upper_A = 1.5 ; upper_B = -0.125;


% Convert 8-bit format of org_pic pixels to double format

pic = double(image)+1;

pic = pic.*1.6;


% Conversion from RGB709 to CIE-XYZ

x = ( pic(:,:,1).*0.412453 + pic(:,:,2).*0.35758 + pic(:,:,3).* 0.180423);

y = ( pic(:,:,1).*0.212671 + pic(:,:,2).*0.715160 + pic(:,:,3).* 0.072169);

z = ( pic(:,:,1).*0.019334 + pic(:,:,2).*0.119193 + pic(:,:,3).*0.950227);


sum = x + y + z;

x_bar = x./sum;

y_bar = y./sum;


% Define yellow color in CIE-XYZ space

x_sum_conds = ( ((x_bar > 0.34) & (sum > 400) & (sum < 500) ) | ((x_bar > 0.37) & (sum > 200) & (sum < 500)) );

xy_conds = ( (y_bar > 0.35) & (y_bar < 0.5) & (y_bar > (lower_A*x_bar + lower_B)) & (y_bar < (upper_A*x_bar + upper_B)) );


y_image = (x_sum_conds & xy_conds);

return;


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作者:车牌识别 来源:车牌识别
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