C#下用Emgucv对图片进行灰度化、二值化、边缘检测、膨胀腐蚀运算、霍夫变换进行表格识别

我不是女神ヾ 2022-08-18 13:25 15阅读 0赞

其中每个部分的原理相信在各种书籍和网站上都容易找到，这里是C\#下用Emgucv实现以上相关操作的源代码全部，转载请注明[http://write.blog.csdn.net/postlist][http_write.blog.csdn.net_postlist]

[http://blog.csdn.net/yimingsilence/article/details/50382295][http_blog.csdn.net_yimingsilence_article_details_50382295]

[http://blog.csdn.net/yimingsilence/article/details/50382295][http_blog.csdn.net_yimingsilence_article_details_50382295]  
IntPtr original\_ptr = CvInvoke.cvLoadImage(filename, Emgu.CV.CvEnum.LOAD\_IMAGE\_TYPE.CV\_LOAD\_IMAGE\_ANYCOLOR);  
if (original\_ptr == null)  
\{  
MessageBox.Show("没有此图像");  
return;  
\}  
/\*图像灰度化\*/  
IntPtr gray\_ptr = CvInvoke.cvCreateImage(CvInvoke.cvGetSize(original\_ptr), Emgu.CV.CvEnum.IPL\_DEPTH.IPL\_DEPTH\_8U, 1);  
CvInvoke.cvCvtColor(original\_ptr, gray\_ptr, Emgu.CV.CvEnum.COLOR\_CONVERSION.CV\_BGR2GRAY);

/\*灰度图片二值化\*/  
IntPtr byte\_ptr = CvInvoke.cvCreateImage(CvInvoke.cvGetSize(gray\_ptr), Emgu.CV.CvEnum.IPL\_DEPTH.IPL\_DEPTH\_8U, 1);  
CvInvoke.cvAdaptiveThreshold(gray\_ptr, byte\_ptr, 255, Emgu.CV.CvEnum.ADAPTIVE\_THRESHOLD\_TYPE.CV\_ADAPTIVE\_THRESH\_GAUSSIAN\_C, Emgu.CV.CvEnum.THRESH.CV\_THRESH\_BINARY, 23, 5);  
  
/\*图像显示\*/  
MIplImage mipimage1 = (MIplImage)Marshal.PtrToStructure(byte\_ptr, typeof(MIplImage));  
Image<Gray, Byte> image = new Image<Gray, Byte>(mipimage1.width, mipimage1.height, mipimage1.widthStep, mipimage1.imageData);

//this.pictureBox1.Image = image.ToBitmap();

///\*检测直线坐标集\*/  
IntPtr midImage = CvInvoke.cvCreateImage(CvInvoke.cvGetSize(byte\_ptr), Emgu.CV.CvEnum.IPL\_DEPTH.IPL\_DEPTH\_8U, 1);  
//边缘检测和膨胀及腐蚀  
CvInvoke.cvCanny(byte\_ptr, midImage, 90, 120, 3);  
CvInvoke.cvDilate(midImage, midImage, IntPtr.Zero, 1);  
CvInvoke.cvErode(midImage, midImage, IntPtr.Zero, 1);  
//霍夫变换  
MemStorage storage = new MemStorage();  
IntPtr intPtrHoughLines = CvInvoke.cvHoughLines2(midImage, storage, HOUGH\_TYPE.CV\_HOUGH\_PROBABILISTIC, 1, Math.PI / 180, 50, 100, 10);  
Seq<LineSegment2D> lineSegment = new Seq<LineSegment2D>(intPtrHoughLines, storage);  
//画出检测结果  
unsafe  
\{  
for (int i = 0; i < lineSegment.Total; ++i)  
\{  
Point\* point = (Point\*)CvInvoke.cvGetSeqElem(intPtrHoughLines, i);  
CvInvoke.cvLine(original\_ptr, point\[0\], point\[1\], new MCvScalar(255, 0, 0), 2, LINE\_TYPE.CV\_AA, 0);//在原图像中画线  
\}  
\}  
// MIplImage resultHough = (MIplImage)Marshal.PtrToStructure(original\_ptr, typeof(MIplImage));  
CvInvoke.cvNamedWindow("result");  
CvInvoke.cvShowImage("result", original\_ptr);

关于opencv在不同语言（c，c++，c\#）中的各种函数及类型的对应关系见：

[http://blog.csdn.net/yimingsilence/article/details/50382349][http_blog.csdn.net_yimingsilence_article_details_50382349]

提一点基础问题，要在C\#中使用指针需要在项目的->属性->生成中选上 允许不安全代码，然后用指针的代码段要写在unsafe｛｝里面

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[http_blog.csdn.net_yimingsilence_article_details_50382295]: http://blog.csdn.net/yimingsilence/article/details/50382295
[http_blog.csdn.net_yimingsilence_article_details_50382349]: http://blog.csdn.net/yimingsilence/article/details/50382349