比较图像和图像处理- WinForms c#

使用系统;使用System.Drawing;使用先;使用System.Windows.Forms;使用Leadtools;使用Leadtools.Codecs;使用Leadtools.Controls;使用Leadtools.ImageProcessing;使用Leadtools.ImageProcessing.Color;使用Leadtools.ImageProcessing.Core;使用Leadtools.ImageProcessing.Effects;

私人imageview _viewer1;私人imageview _viewer2;私人RasterCodecs _codecs;私人RasterImage _image1;私人RasterImage _image2;

私人无效Form1_Load (对象发送方的EventArgs e){试一试{_viewer1 =新imageview ();_viewer1。码头= DockStyle.Fill;_viewer1。背景色= Color.DarkGray;panel1.Controls.Add (_viewer1);_viewer1.BringToFront ();_viewer1.Zoom (ControlSizeMode。健康,1.0,_viewer1.DefaultZoomOrigin);_viewer2 =新imageview ();_viewer2。码头= DockStyle.Fill;_viewer2。背景色= Color.DarkGray;panel2.Controls.Add (_viewer2);_viewer2.BringToFront ();_viewer2.Zoom (ControlSizeMode。健康,1.0,_viewer1.DefaultZoomOrigin);_codecs =新RasterCodecs ();}抓(异常交货){MessageBox.Show (ex.ToString ());}}

私人无效btnLoadFirst_Click (对象发送方的EventArgs e){试一试{字符串_filePath = GetFilePath ();字符串_fileName = Path.GetFileName (_filePath);_image1 = _codecs.Load (_filePath);_viewer1。形象= _image1;label1。文本= $“1号图片:{_fileName}”;}抓(异常交货){MessageBox.Show (ex.ToString ());}}

私人无效btnLoadSecond_Click (对象发送方的EventArgs e){试一试{字符串_filePath = GetFilePath ();字符串_fileName = Path.GetFileName (_filePath);_image2 = _codecs.Load (_filePath);_viewer2。形象= _image2;label2。文本= $图片2:{_fileName}”;}抓(异常交货){MessageBox.Show (ex.ToString ());}}

私人无效btnLoadFirst_Click (对象发送方的EventArgs e){试一试{字符串_filePath = GetFilePath ();字符串_fileName = Path.GetFileName (_filePath);字节[]_fileData = File.ReadAllBytes (_filePath);使用(MemoryStream _fileStream =新MemoryStream (_fileData))_image1 = _codecs.Load (_fileStream);_viewer1。形象= _image1;label1。文本= $“1号图片:{_fileName}”;}抓(异常交货){MessageBox.Show (ex.ToString ());}}

私人无效btnLoadSecond_Click (对象发送方的EventArgs e){试一试{字符串_filePath = GetFilePath ();字符串_fileName = Path.GetFileName (_filePath);字节[]_fileData = File.ReadAllBytes (_filePath);使用(MemoryStream _fileStream =新MemoryStream (_fileData))_image2 = _codecs.Load (_fileStream);_viewer2。形象= _image2;label2。文本= $图片2:{_fileName}”;}抓(异常交货){MessageBox.Show (ex.ToString ());}}

私人字符串GetFilePath (){字符串_filePath =零;OpenFileDialog dlg =新OpenFileDialog ();了解地理。InitialDirectory =@“C: \ LEADTOOLS22 \ Resources \图片”;如果(dlg.ShowDialog (这)= = DialogResult.OK){_filePath = dlg.FileName;}返回_filePath;}

私人无效btnCompare_Click (对象发送方的EventArgs e){如果(_viewer1。形象= =零| | _viewer2。形象= =零){MessageBox.Show (“请先加载图片”);返回;}lstResult.Items.Add (“* * * * * * * * * * * * * *比较……* * * * * * * * * * * * * *”);intnewItem;/ /第一个措施:比较像素XOR-ing他们使用(RasterImage dstImage = _image2.Clone ()){LeadRect rc =新LeadRect (0, 0, _viewer1.Image。宽度,_viewer1.Image.Height);CombineCommand结合=新CombineCommand (_image1 rc,新LeadPoint (0, 0),CombineCommandFlags.OperationXor);combine.Run (dstImage);/ /相同的像素将导致XOR后黑色。接下来的代码将计算黑比产生的形象/ /定义一个地区所有的黑色像素dstImage.AddColorToRegion (RasterColor。黑色,RasterRegionCombineMode.Set);/ /找到黑色区域的面积和除以总图像面积双percentBlack = dstImage.CalculateRegionArea () * 100.0 / (dstImage。宽度* dstImage.Height);newItem = lstResult.Items.Add (字符串.Format (“比较精确的像素:{0:N2} %相同”percentBlack));lstResult。TopIndex = newItem;}/ /复制灰度计算强度值GrayscaleCommand灰色=新GrayscaleCommand (8);/ /统计信息命令将使用在找到图像像素的平均值StatisticsInformationCommand统计=新StatisticsInformationCommand (RasterColorChannel。主人,0,255);使用(RasterImage image2Gray = _image2.Clone ())使用(RasterImage image1Gray = _image1.Clone ()){LeadRect rc =新LeadRect (0, 0, image2Gray。宽度,image2Gray.Height);/ /获得强度值,转换为灰度gray.Run (image1Gray);gray.Run (image2Gray);/ /第二个措施:整体强度值stats.Run (image1Gray);双intensityAverage1 = stats.Mean;stats.Run (image2Gray);双intensityAverage2 = stats.Mean;双AvgSimilarity = 100.0 -(数学。Abs (intensityAverage2 - intensityAverage1) * 100.0/255);newItem = lstResult.Items.Add (字符串.Format (“整体形象强度:{0:N2} %相似”AvgSimilarity));lstResult。TopIndex = newItem;/ /第三个措施:pixel-wise强度相似CombineCommand结合=新CombineCommand (image1Gray rc,新LeadPoint (0, 0),CombineCommandFlags.AbsoluteDifference);combine.Run (image2Gray);/ / image2Gray现在的减法结果2图像的强度。/ /均值的平均强度的差异stats.Run (image2Gray);双pixelsSimilarity = 100.0 -(统计数据。意味着* 100.0/255);newItem = lstResult.Items.Add (字符串.Format (“相应的像素强度:{0:N2} %相似”,pixelsSimilarity));lstResult。TopIndex = newItem;}/ /第四和第五措施:比较平均色调和饱和度平均水平/ /颜色宽大获得色相和饱和度的飞机ColorSeparateCommand colorSep =新ColorSeparateCommand (ColorSeparateCommandType.Hsv);colorSep.Run (_image1);colorSep.DestinationImage。页面= 1;stats.Run (colorSep.DestinationImage);/ /存储第一色调飞机的平均值双averageHue1 = stats.Mean;/ /从色相饱和度平面平面,这是在第二页colorSep.DestinationImage。页面= 2;stats.Run (colorSep.DestinationImage);/ /存储第一饱和飞机的平均值双averageSat1 = stats.Mean;/ /执行颜色分离的第二图像colorSep.Run (_image2);colorSep.DestinationImage。页面= 1;stats.Run (colorSep.DestinationImage);/ /存储平均值的第二平面图像的色相双averageHue2 = stats.Mean;/ /从色相饱和度平面平面,这是在第二页colorSep.DestinationImage。页面= 2;stats.Run (colorSep.DestinationImage);/ /存储平均值的第二平面图像的饱和度双averageSat2 = stats.Mean;双HueDiff =数学。Abs (averageHue1 averageHue2);/ /如果一个色调非常高,另一个是非常低的,他们实际上/ /接近彼此,因为0 255旁边如果(HueDiff > 127)HueDiff =数学。Abs (HueDiff - 254);双SatDiff =数学。Abs (averageSat1 averageSat2);双hueSimilarity = (255 - HueDiff) * 100/255.0;双satSimilarity = (255 - SatDiff) * 100/255.0;lstResult.Items.Add (字符串.Format (“平均颜色值2图片:{0:N2} %相似”hueSimilarity));newItem = lstResult.Items.Add (字符串.Format (“平均饱和度值2图片:{0:N2} %相似”,satSimilarity));lstResult。TopIndex = newItem;/ / 6日测量:fequency内容值得自己的函数_image2.Clone CompareFrequencyContent (_image1.Clone () ());}

公共无效CompareFrequencyContent (RasterImage img1, RasterImage img2){/ /确保图片是相同的大小如果((img1。宽度! = img2.Width) | | (img1。高度! = img2.Height)){SizeCommand SizeCommand =新SizeCommand (256、256、Leadtools.RasterSizeFlags.Bicubic);sizecommand.Run (img1);sizecommand.Run (img2);}/ /使用相同的标记的图像/ /包括填充国旗这样FFT将与非2的幂的大小的图像FastFourierTransformCommandFlags fftFlags = FastFourierTransformCommandFlags.FastFourierTransform| FastFourierTransformCommandFlags。灰色| FastFourierTransformCommandFlags.PadOptimally;/ / 2数组来保存FFT的结果FourierTransformInformation FTArray1 =新FourierTransformInformation (img1 fftFlags);FourierTransformInformation FTArray2 =新FourierTransformInformation (img2 fftFlags);/ /应用FFT第一形象FastFourierTransformCommand命令=新FastFourierTransformCommand (FTArray1 fftFlags);command.Run (img1);/ /应用FFT第二图像命令。FourierTransformInformation = FTArray2;command.Run (img2);/ /求和的区别每个频率分量大小和其对应的形象双magDiff = 0;/ / 2级的求和值从图像的所有频率成分双magSum = 0;intdataLen = FTArray1.Data.Length;不安全的/ /进程最快的方法是使用提供的数据指针命令{双* pData1 = (双*)FTArray1.DataPointer;双* pData2 = (双*)FTArray2.DataPointer;为(int我= 0;我< dataLen;+ + i){双r1 = * pData1;+ + pData1;双i1 = * pData1;+ + pData1;/ /大小是根的实部和虚部双mag1 =数学。Sqrt (r1 * r1 + i1 * i1);双r2 = * pData2;+ + pData2;双i2 = * pData2;+ + pData2;双mag2 =数学。√r2 * r2 + i2 * i2);/ /统计金额大小magSum + = (mag1 + mag2);/ /记录大小差异magDiff + =数学。Abs (mag1 mag2);}}如果(magSum = = 0)magSum = 1;/ /不除以零双freqSimilarity = (magSum - magDiff) * 100 / magSum;intnewItem = lstResult.Items.Add (字符串.Format (“频率内容2的图片:{0:N2} %相似”freqSimilarity));lstResult。TopIndex = newItem;img1.Dispose ();img2.Dispose ();}

私人无效btnCopy_Click (对象发送方的EventArgs e){字符串listText =”“;foreach(字符串三种在lstResult.Items)listText + = txt + Environment.NewLine;如果(listText = =”“)返回;Clipboard.Clear ();Clipboard.SetText (listText);MessageBox.Show (“结果复制到剪贴板”);}

私人无效btnClearList_Click (对象发送方的EventArgs e){lstResult.Items.Clear ();}