毕业设计和课程设计全套资料，主程序代码
clc; clear all; close all;
warning off all;
I = imread('images\\1.jpg');
I1 = Image_Normalize(I, 0);%图像归一化
hsize = [3 3];
sigma = 0.5;
I2 = Image_Smooth(I1, hsize, sigma, 0);
I3 = Gray_Convert(I2, 0);
bw2 = Image_Binary(I3, 0);%二值化处理
[~, ~, xy_long] = Hough_Process(bw2, I1, 0);%霍夫变换
angle = Compute_Angle(xy_long);%计算角度
[I4, bw3] = Image_Rotate(I1, bw2, angle*1.8, 0);%图像旋转
[bw4, Loc1] = Morph_Process(bw3, 0);%形态处理
[Len, XYn, xy_long] = Hough_Process(bw4, I4, 0);
[bw5, bw6] = Region_Segmation(XYn, bw4, I4, 0);
[stats1, stats2, Line] = Location_Label(bw5, bw6, I4, XYn, Loc1, 1);
[Dom, Aom, Answer, Bn] = Analysis(stats1, stats2, Line, I4);
2019-12-21 21:44:46
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第 04 章 基于Hough变化的答题卡识别——相关代码及源文件
\Analysis.m
\Compute_Angle.m
\Gray_Convert.m
\Hough_Process.m
\images
\......\1.JPG
\Image_Binary.m
\Image_Normalize.m
\Image_Rotate.m
\Image_Smooth.m
\Location_Label.m
\Morph_Process.m
\Region_Segmation.m
\results
\runme.m
\Write_Results.m
2019-12-21 20:19:35
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本案例研究答题卡识别软件的设计与开发，集成了图像分割、模式识别等功能模块，设计计算机图像处理等知识。通过图像处理技术，完成识别答题卡图像的答案选项，应用了图像校正、模式识别等算法
2019-12-21 19:46:49
5.19MB
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