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Commit 54f08551 由 cuiyadong
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获取元器件特征

1 个父辈 e7982bd2
内嵌 并排
正在显示 3 个修改的文件 包含 314 行增加 和 98 行删除
AccImage/ImageUtil.cs
...@@ -207,11 +207,14 @@ namespace Acc.Img ...@@ -207,11 +207,14 @@ namespace Acc.Img
{ {
Bitmap bitmap = new Bitmap(image); Bitmap bitmap = new Bitmap(image);
Mat imageMat = BitmapConverter.ToMat(bitmap); Mat imageMat = BitmapConverter.ToMat(bitmap);
RadiusPt radiusPt, radiusPtOut;
GetCenter(imageMat, out radiusPt);
GetOutContour(imageMat, out radiusPtOut);
Cv2.CvtColor(imageMat, imageMat, ColorConversionCodes.RGBA2BGR); Cv2.CvtColor(imageMat, imageMat, ColorConversionCodes.RGBA2BGR);
Mat grayMat = BitmapConverter.ToMat(bitmap); Mat grayMat = BitmapConverter.ToMat(bitmap);
Cv2.CvtColor(grayMat, grayMat, ColorConversionCodes.RGB2GRAY); Cv2.CvtColor(grayMat, grayMat, ColorConversionCodes.RGB2GRAY);
CvBlobs blobs = AutoThreshBlobs(ref grayMat, itemArea,out itemArea); CvBlobs blobs = AutoThreshBlobs(ref grayMat, itemArea,out itemArea,radiusPt,radiusPtOut);
int totalCount = findCircles(ref imageMat, grayMat, blobs, itemArea); int totalCount = findCircles(ref imageMat, grayMat, blobs, itemArea,radiusPt,radiusPtOut);
//imageMat = grayMat; //imageMat = grayMat;
//int totalCount = CountBlobs(blobs, itemArea, ref imageMat); //int totalCount = CountBlobs(blobs, itemArea, ref imageMat);
image = BitmapConverter.ToBitmap(imageMat); image = BitmapConverter.ToBitmap(imageMat);
...@@ -442,8 +445,8 @@ namespace Acc.Img ...@@ -442,8 +445,8 @@ namespace Acc.Img
} }
private static CvBlobs AutoThreshBlobs(ref Mat imageMat,int blobArea,out int standArea) private static CvBlobs AutoThreshBlobs(ref Mat imageMat,int blobArea,out int standArea,RadiusPt radiusPt,RadiusPt radiusPtOut)
{ {
Mat[] mats = new Mat[] { imageMat };//一张图片，初始化为panda Mat[] mats = new Mat[] { imageMat };//一张图片，初始化为panda
Mat hist = new Mat();//用来接收直方图 Mat hist = new Mat();//用来接收直方图
int[] channels = new int[] { 0 };//一个通道,初始化为通道0 int[] channels = new int[] { 0 };//一个通道,初始化为通道0
...@@ -682,17 +685,18 @@ namespace Acc.Img ...@@ -682,17 +685,18 @@ namespace Acc.Img
//{ //{
// count = (int)Math.Round((blobArea + k * averageArea) / (k * averageArea)); // count = (int)Math.Round((blobArea + k * averageArea) / (k * averageArea));
//} //}
//count = (int)((blobArea + k * averageArea) / (k * averageArea));
count = (int)((blobArea + k * averageArea) / (k * averageArea)); count = (int)((blobArea + k * averageArea) / (k * averageArea));
if (count == 0 || count == 1) if (count == 0 || count == 1)
{ {
count = 1; count = 1;
} }
if (count <= 5000) //if (count <= 10000)
{ //{
return count; return count;
} //}
return 0; //return 0;
} }
/// <summary> /// <summary>
...@@ -845,12 +849,10 @@ namespace Acc.Img ...@@ -845,12 +849,10 @@ namespace Acc.Img
public static SplitItem findCircleInBlob(double[,] matDistanceArr, CvBlobs blobs, CvBlob blob, Point2d reelCenter, double oneBlobWidth= -1, double oneBlobRadius = -1) public static SplitItem findCircleInBlob(double[,] matDistanceArr, CvBlobs blobs, CvBlob blob, Point2d reelCenter, double oneBlobWidth= -1, double oneBlobRadius = -1)
{ {
SplitItem item = new SplitItem(); SplitItem item = new SplitItem();
int ct = 0;
while (true) while (true)
{ {
bool hasFind = false; bool hasFind = false;
bool hasPixToHandle = false; bool hasPixToHandle = false;
ct += 1;
for (int x = blob.MinX; x< blob.MaxX; x++) for (int x = blob.MinX; x< blob.MaxX; x++)
{ {
for (int y = blob.MinY; y < blob.MaxY; y++) for (int y = blob.MinY; y < blob.MaxY; y++)
...@@ -891,16 +893,7 @@ namespace Acc.Img ...@@ -891,16 +893,7 @@ namespace Acc.Img
hasFind = true; hasFind = true;
break; break;
} }
} }
else
{
if (ct > 100)
{
////hasFind = true;
hasPixToHandle = false;
break;
}
}
} }
} }
...@@ -922,6 +915,85 @@ namespace Acc.Img ...@@ -922,6 +915,85 @@ namespace Acc.Img
} }
return item; return item;
} }
public struct CircleStruct
{
public OpenCvSharp.Point centerPt;
public double radius;
}
private static int startI = -1;
private static List<CircleStruct> resultList = new List<CircleStruct>();
private static List<List<CircleStruct>> spitList = new List<List<CircleStruct>>();
private static CircleStruct circleStruct = new CircleStruct();
public static void findCircleInBlobNew(double[,] matDistanceArr, CvBlobs blobs, CvBlob blob, Point2d reelCenter, double oneBlobWidth = -1, double oneBlobRadius = -1)
{
resultList.Clear();
for (int x = blob.MinX; x < blob.MaxX; x++)
{
for (int y = blob.MinY; y < blob.MaxY; y++)
{
double distance = matDistanceArr[x, y];
if (distance > 0)
{
int label = blobs.GetLabel(x, y);
if (label != blob.Label)
{
continue;
}
else
{
if (distance>=oneBlobRadius*0.8)
{
circleStruct.centerPt.X = x;
circleStruct.centerPt.Y = y;
circleStruct.radius = distance;
if (startI == -1)
{
startI = 1;
resultList.Add(circleStruct);
}
else
{
bool intersectionB = false;
foreach (CircleStruct item in resultList)
{
//if (Math.Abs(item.centerPt.DistanceTo(new OpenCvSharp.Point(reelCenter.X,reelCenter.Y))-circleStruct.centerPt.DistanceTo(new OpenCvSharp.Point(reelCenter.X, reelCenter.Y)))<=oneBlobWidth)
//{
// intersectionB = true;
// break;
//}
if (item.centerPt.DistanceTo(circleStruct.centerPt)<item.radius+distance)
{
intersectionB = true;
break;
}
}
if (!intersectionB)
{
resultList.Add(circleStruct);
}
}
}
}
}
}
}
//分离
while (resultList.Count != 0)
{
}
}
/// <summary> /// <summary>
/// 查找Blobs包含的元器件数量 /// 查找Blobs包含的元器件数量
...@@ -931,12 +1003,9 @@ namespace Acc.Img ...@@ -931,12 +1003,9 @@ namespace Acc.Img
/// <param name="blobs"></param> /// <param name="blobs"></param>
/// <param name="avgArea"></param> /// <param name="avgArea"></param>
/// <returns></returns> /// <returns></returns>
public static int findCircles(ref Mat srcMat, Mat threshMat, CvBlobs blobs, int avgArea) public static int findCircles(ref Mat srcMat, Mat threshMat, CvBlobs blobs, int avgArea, RadiusPt radiusPt,RadiusPt radiusPtOut)
{ {
Mat distanceMat = new Mat(); Mat distanceMat = new Mat();
RediusPt rediusPt, rediusPtOut;
GetCenter(srcMat,out rediusPt);
GetOutContour(srcMat, out rediusPtOut);
Cv2.DistanceTransform(threshMat, distanceMat, DistanceTypes.L2, DistanceMaskSize.Mask3); Cv2.DistanceTransform(threshMat, distanceMat, DistanceTypes.L2, DistanceMaskSize.Mask3);
double[,] distanceArr = new double[threshMat.Cols, threshMat.Rows]; double[,] distanceArr = new double[threshMat.Cols, threshMat.Rows];
...@@ -947,19 +1016,10 @@ namespace Acc.Img ...@@ -947,19 +1016,10 @@ namespace Acc.Img
{ {
Stopwatch sw = new Stopwatch(); Stopwatch sw = new Stopwatch();
sw.Start(); sw.Start();
for (int y = 0; y < threshMat.Rows; y++) for (int y = 0; y < threshMat.Rows; y++) {
{ for (int x = 0; x < threshMat.Cols; x++){
for (int x = 0; x < threshMat.Cols; x++)
{
float* dd = (float*)distanceMat.Ptr(y, x); float* dd = (float*)distanceMat.Ptr(y, x);
distanceArr[x, y] = dd[0]; distanceArr[x, y] = dd[0];
//float atValue = distanceMat.At<float>(y, x);
//distanceArr[x, y] = atValue;
//if (atValue != dd[0])
//{
// Console.WriteLine("rho=" + dd[0].ToString() + " atValue=" + atValue);
//}
} }
} }
sw.Stop(); sw.Stop();
...@@ -970,30 +1030,11 @@ namespace Acc.Img ...@@ -970,30 +1030,11 @@ namespace Acc.Img
Console.WriteLine("Start find reel center"); Console.WriteLine("Start find reel center");
Point2d reelCenter = new Point2d(0,0) ; Point2d reelCenter = new Point2d(0,0) ;
////查找中心 ////查找中心
//foreach (CvBlob blob in blobs.Values) reelCenter.X = radiusPtOut.pt.X;
//{ reelCenter.Y = radiusPtOut.pt.Y;
// int count = BlobHasItem(avgArea, blob); srcMat.Line(new OpenCvSharp.Point(radiusPtOut.pt.X - 10, radiusPtOut.pt.Y), new OpenCvSharp.Point(radiusPtOut.pt.X + 10, radiusPtOut.pt.Y), Scalar.Blue);
// if (count > 10 && reelCenter.X == 0) srcMat.Line(new OpenCvSharp.Point(radiusPtOut.pt.X, radiusPtOut.pt.Y - 10), new OpenCvSharp.Point(radiusPtOut.pt.X, radiusPtOut.pt.Y + 10), Scalar.Blue);
// {
// Point2d center = blob.Centroid;
// //中间的圆,查找圆心
// if (center.DistanceTo(new Point2d(srcMat.Cols / 2, srcMat.Rows / 2)) < 200)
// {
// reelCenter = center;
// srcMat.Line(new OpenCvSharp.Point(center.X - 10, center.Y), new OpenCvSharp.Point(center.X + 10, center.Y), Scalar.Blue);
// srcMat.Line(new OpenCvSharp.Point(center.X, center.Y - 10), new OpenCvSharp.Point(center.X, center.Y + 10), Scalar.Blue);
// break;
// }
// }
//}
reelCenter.X = rediusPtOut.pt.X;
reelCenter.Y = rediusPtOut.pt.Y;
srcMat.Line(new OpenCvSharp.Point(rediusPtOut.pt.X - 10, rediusPtOut.pt.Y), new OpenCvSharp.Point(rediusPtOut.pt.X + 10, rediusPtOut.pt.Y), Scalar.Blue);
srcMat.Line(new OpenCvSharp.Point(rediusPtOut.pt.X, rediusPtOut.pt.Y - 10), new OpenCvSharp.Point(rediusPtOut.pt.X, rediusPtOut.pt.Y + 10), Scalar.Blue);
Console.WriteLine("Start find reel Max Radius, max Width"); Console.WriteLine("Start find reel Max Radius, max Width");
//最大 //最大
double maxRadius = 0; double maxRadius = 0;
...@@ -1041,7 +1082,7 @@ namespace Acc.Img ...@@ -1041,7 +1082,7 @@ namespace Acc.Img
if (count == 1) if (count == 1)
{ {
//单个元器件 //单个元器件
if (blob.Centroid.DistanceTo(new Point2d(rediusPt.pt.X,rediusPt.pt.Y)) < rediusPt.radius-10) if (blob.Centroid.DistanceTo(new Point2d(radiusPt.pt.X,radiusPt.pt.Y)) < radiusPt.radius-10)
{ {
continue; continue;
} }
...@@ -1053,7 +1094,7 @@ namespace Acc.Img ...@@ -1053,7 +1094,7 @@ namespace Acc.Img
//if (count > 20) //if (count > 20)
//{ //{
// //中间的圆，去除 // //中间的圆，去除
// if (blob.Centroid.DistanceTo(reelCenter) < rediusPt.radius) // if (blob.Centroid.DistanceTo(reelCenter) < radiusPt.radius)
// { // {
// continue; // continue;
// } // }
...@@ -1062,11 +1103,11 @@ namespace Acc.Img ...@@ -1062,11 +1103,11 @@ namespace Acc.Img
// // continue; // // continue;
// //} // //}
//} //}
if (blob.Centroid.DistanceTo(new Point2d(rediusPt.pt.X, rediusPt.pt.Y)) < rediusPt.radius-10) if (blob.Centroid.DistanceTo(new Point2d(radiusPt.pt.X, radiusPt.pt.Y)) < radiusPt.radius-10)
{ {
continue; continue;
} }
//多个元器件，查找 所有圆 ////多个元器件，查找 所有圆
SplitItem item = findCircleInBlob(distanceArr, blobs, blob, reelCenter, maxWidth, maxRadius); SplitItem item = findCircleInBlob(distanceArr, blobs, blob, reelCenter, maxWidth, maxRadius);
//对所有圆进行分组 //对所有圆进行分组
List<List<Circle>> groupCircles = item.groupCircles(maxWidth, maxRadius, reelCenter); List<List<Circle>> groupCircles = item.groupCircles(maxWidth, maxRadius, reelCenter);
...@@ -1111,7 +1152,7 @@ namespace Acc.Img ...@@ -1111,7 +1152,7 @@ namespace Acc.Img
// Mat distanceMat = new Mat(); // Mat distanceMat = new Mat();
// Mat labels = new Mat() ; // Mat labels = new Mat() ;
// Cv2.DistanceTransform(gray, distanceMat, DistanceTypes.L2, DistanceMaskSize.Mask3) ; // Cv2.DistanceTransform(gray, distanceMat, DistanceTypes.L2, DistanceMaskSize.Mask3) ;
// Cv2.Normalize(distanceMat, gray, 0, 255, NormTypes.MinMax); // Cv2.Normalize(distanceMat, gray, 0, 255, NormTypes.MinMax);
// gray.ConvertTo(gray, MatType.CV_8UC1); // gray.ConvertTo(gray, MatType.CV_8UC1);
// Cv2.Threshold(gray, gray, 0, 255, ThresholdTypes.Otsu); // Cv2.Threshold(gray, gray, 0, 255, ThresholdTypes.Otsu);
...@@ -1221,6 +1262,89 @@ namespace Acc.Img ...@@ -1221,6 +1262,89 @@ namespace Acc.Img
// //image = BitmapConverter.ToBitmap(dist); // //image = BitmapConverter.ToBitmap(dist);
// //return image; // //return image;
//} //}
public static int GetGrayValue(ref Image image, int markX, int markY)
{
Mat imageMat = BitmapConverter.ToMat(new Bitmap(image));
RadiusPt radiusPt, radiusPtOut;
GetCenter(imageMat, out radiusPt);
GetOutContour(imageMat, out radiusPtOut);
Mat grayMat = new Mat();
Mat thresholdMat = new Mat();
int minThreshold = -1;
int sampThreshold = -1, blobNum = -1;
double minArea, maxArea, proportion=0;
CvBlobs blobs = new CvBlobs();
Cv2.CvtColor(imageMat,imageMat,ColorConversionCodes.BGRA2BGR);
Cv2.CvtColor(imageMat, grayMat, ColorConversionCodes.RGB2GRAY);
for (int i = 0; i < 2; i++)
{
if (i == 0)
{
sampThreshold = 151;
}
else
{
sampThreshold = 161;
}
Cv2.Threshold(grayMat, thresholdMat, sampThreshold, 255, ThresholdTypes.BinaryInv);
Cv2.MedianBlur(thresholdMat, thresholdMat, 7);
blobs.Label(thresholdMat);
List<CvBlob> blobL = blobs.Values.Where(a => a.Area > 3 && a.Centroid.DistanceTo(radiusPtOut.pt) > radiusPt.radius && a.Centroid.DistanceTo(radiusPtOut.pt) < radiusPtOut.radius).ToList();
blobL.Sort((a, b) => a.Area.CompareTo(b.Area));
if (blobL.Count == 0)
{
continue;
}
minArea = blobL[0].Area;
maxArea = blobL[blobL.Count - 1].Area;
if (i == 0)
{
blobNum = blobL.Count();
proportion = maxArea / minArea;
}
else
{
if (blobNum > blobL.Count && proportion < maxArea / minArea||blobL.Count<100)
{
minThreshold = 151;
}
else
{
minThreshold = 161;
}
}
}
Cv2.Threshold(grayMat, thresholdMat, minThreshold, 255, ThresholdTypes.BinaryInv);
blobs.Label(thresholdMat);
CvBlob selectBlob = null;
foreach (CvBlob item in blobs.Values)
{
if (item.Rect.Contains(markX, markY))
{
if (selectBlob == null)
{
selectBlob = item;
}
else
{
if (selectBlob.Area>item.Area)
{
selectBlob = item;
}
}
}
}
if (selectBlob == null)
{
return -1;
}
selectBlob.Contour.Render(imageMat, Scalar.Red);
image = BitmapConverter.ToBitmap(imageMat);
return selectBlob.Area;
}
/// <summary> /// <summary>
/// 获取单个元器件的特征 /// 获取单个元器件的特征
...@@ -1232,32 +1356,123 @@ namespace Acc.Img ...@@ -1232,32 +1356,123 @@ namespace Acc.Img
public static int GetFeature(ref Image image, int markX, int markY) public static int GetFeature(ref Image image, int markX, int markY)
{ {
Mat imageMat = BitmapConverter.ToMat(new Bitmap(image)); Mat imageMat = BitmapConverter.ToMat(new Bitmap(image));
Cv2.CvtColor(imageMat, imageMat, ColorConversionCodes.BGRA2BGR);
Mat dst = new Mat(); Mat dst = new Mat();
Cv2.CvtColor(imageMat, dst, ColorConversionCodes.RGB2GRAY);
//全局二值化
Cv2.Threshold(dst, dst, 0, 255, ThresholdTypes.Otsu | ThresholdTypes.BinaryInv); //Cv2.CvtColor(imageMat, gradMat, ColorConversionCodes.RGB2GRAY);
image = BitmapConverter.ToBitmap(dst); ////全局二值化
CvBlobs blobs = new CvBlobs(); //Cv2.Threshold(gradMat, dst, 0, 255, ThresholdTypes.Otsu |ThresholdTypes.BinaryInv);
blobs.Label(dst);
int blobArea = -1; //image = BitmapConverter.ToBitmap(dst);
foreach(CvBlob blob in blobs.Values) { //CvBlobs blobs = new CvBlobs();
if (blob.Rect.Contains(new OpenCvSharp.Point(markX, markY))) //blobs.Label(dst);
//int blobArea = -1;
//foreach (CvBlob blob in blobs.Values)
//{
// if (blob.Rect.Contains(new OpenCvSharp.Point(markX, markY)))
// {
// if (blob.Area < blobArea || blobArea == -1)
// {
// blobArea = blob.Area;
// }
// }
//}
Mat[] mats = new Mat[] { imageMat };//一张图片，初始化为panda
Mat hist = new Mat();//用来接收直方图
int[] channels = new int[] { 0 };//一个通道,初始化为通道0
int[] histsize = new int[] { 256 };//一个通道，初始化为256箱子
Rangef[] range = new Rangef[1];//一个通道，值范围
range[0].Start = 0.0F;//从0开始（含）
range[0].End = 256.0F;//到256结束（不含）
Mat mask = new Mat();//不做掩码
Cv2.CalcHist(mats, channels, mask, hist, 1, histsize, range);//计算灰度图，dim为1 1维
double total = 0;
for (int i = 0; i < 256; i++)//灰度值总数量
{
total = total + hist.Get<double>(i);
}
double percent = 0;
int startIndex = -1;
int endIndex = -1;
for (int i = 0; i < 256; i++)//直方图
{
double len = hist.Get<double>(i);
if (len > 100)
{//灰度值的像素数小于100的忽略
if (startIndex == -1)
{
startIndex = i;
}
endIndex = i - 1;
percent = percent + len / total;
//近似的认为元器件的灰度值 数量占总数的百分比小于10%
//if (percent > 0.1)
//{
// break;
//}
}
}
int areaBlob = -1;
int blobCount = 0;
Mat grayMat = new Mat();
CvBlob minBlob = null;
Cv2.CvtColor(imageMat, grayMat, ColorConversionCodes.RGB2GRAY);
for (int i = endIndex; i > startIndex; i--)
{
CvBlobs blobs = new CvBlobs();
Cv2.Threshold(grayMat, dst, i, 255, ThresholdTypes.BinaryInv);
blobs.Label(dst);
int minArea = -1;
foreach (CvBlob blob in blobs.Values)
{ {
if (blob.Area < blobArea || blobArea == -1) if (blob.Rect.Contains(new OpenCvSharp.Point(markX, markY)))
{ {
blobArea = blob.Area; if (blob.Area < minArea || minArea == -1)
{
minArea = blob.Area;
if (minBlob==null)
{
minBlob = blob;
}
}
} }
} }
List<CvBlob> blobList = blobs.Values.Where(b => b.Area > minArea).ToList<CvBlob>();
int currentBlobCount = blobList.Count;
if(currentBlobCount <= 20 || minArea == -1)
{
continue;
}
if (minArea * 2 <= areaBlob && areaBlob != -1 && blobCount * 1.5 < currentBlobCount && blobCount != -1)
{
Console.WriteLine("thresh:" + i + " = " + minArea + " count = " + currentBlobCount);
minBlob.Contour.Render(imageMat,Scalar.Red);
//image = BitmapConverter.ToBitmap(imageMat);
image = BitmapConverter.ToBitmap(dst);
return minArea;
}
areaBlob = minArea;
blobCount = currentBlobCount;
} }
return blobArea;
Console.WriteLine("End");
return -1;
} }
//获取圆心半径 //获取圆心半径
public struct RediusPt public struct RadiusPt
{ {
public OpenCvSharp.Point pt; public OpenCvSharp.Point pt;
public int radius; public int radius;
} }
public static bool GetCenter(Mat srcMat, out RediusPt rediusPt) public static bool GetCenter(Mat srcMat, out RadiusPt radiusPt)
{ {
Mat grayMAT = srcMat.Clone(); Mat grayMAT = srcMat.Clone();
Cv2.CvtColor(grayMAT, grayMAT, ColorConversionCodes.BGR2GRAY); Cv2.CvtColor(grayMAT, grayMAT, ColorConversionCodes.BGR2GRAY);
...@@ -1289,24 +1504,24 @@ namespace Acc.Img ...@@ -1289,24 +1504,24 @@ namespace Acc.Img
if (centerMat != null) if (centerMat != null)
{ {
pt = centerMat.CalcCentroid(); pt = centerMat.CalcCentroid();
rediusPt.pt.X = centerMat.Rect.Width/2+centerMat.Rect.X; radiusPt.pt.X = centerMat.Rect.Width/2+centerMat.Rect.X;
rediusPt.pt.Y = centerMat.Rect.Height/ 2 + centerMat.Rect.Y; radiusPt.pt.Y = centerMat.Rect.Height/ 2 + centerMat.Rect.Y;
if (centerMat.Rect.Width < centerMat.Rect.Height) if (centerMat.Rect.Width < centerMat.Rect.Height)
rediusPt.radius = (int)Math.Round(centerMat.Rect.Width * 0.5); radiusPt.radius = (int)Math.Round(centerMat.Rect.Width * 0.5);
else else
rediusPt.radius = (int)Math.Round(centerMat.Rect.Height * 0.5); radiusPt.radius = (int)Math.Round(centerMat.Rect.Height * 0.5);
return true; return true;
} }
else else
{ {
rediusPt.radius = -1; radiusPt.radius = -1;
rediusPt.pt = new OpenCvSharp.Point(0, 0); radiusPt.pt = new OpenCvSharp.Point(0, 0);
return false; return false;
} }
} }
//获取最外轮廓 //获取最外轮廓
public static bool GetOutContour(Mat srcMat, out RediusPt rediusPt) public static bool GetOutContour(Mat srcMat, out RadiusPt radiusPt)
{ {
Mat grayMAT = srcMat.Clone(); Mat grayMAT = srcMat.Clone();
Cv2.CvtColor(grayMAT, grayMAT, ColorConversionCodes.BGR2GRAY); Cv2.CvtColor(grayMAT, grayMAT, ColorConversionCodes.BGR2GRAY);
...@@ -1339,18 +1554,18 @@ namespace Acc.Img ...@@ -1339,18 +1554,18 @@ namespace Acc.Img
if (centerMat != null) if (centerMat != null)
{ {
pt = centerMat.CalcCentroid(); pt = centerMat.CalcCentroid();
rediusPt.pt.X = (int)pt.X; radiusPt.pt.X = (int)pt.X;
rediusPt.pt.Y = (int)pt.Y; radiusPt.pt.Y = (int)pt.Y;
if (centerMat.Rect.Width > centerMat.Rect.Height) if (centerMat.Rect.Width > centerMat.Rect.Height)
rediusPt.radius = (int)Math.Round(centerMat.Rect.Width * 0.5); radiusPt.radius = (int)Math.Round(centerMat.Rect.Width * 0.5);
else else
rediusPt.radius = (int)Math.Round(centerMat.Rect.Height * 0.5); radiusPt.radius = (int)Math.Round(centerMat.Rect.Height * 0.5);
return true; return true;
} }
else else
{ {
rediusPt.radius = -1; radiusPt.radius = -1;
rediusPt.pt = new OpenCvSharp.Point(0, 0); radiusPt.pt = new OpenCvSharp.Point(0, 0);
return false; return false;
} }
} }
......
AccImage/SplitItem.cs
...@@ -106,7 +106,7 @@ namespace AccImage ...@@ -106,7 +106,7 @@ namespace AccImage
if (Math.Abs(c.distanceToCenter - labelCircle.distanceToCenter) < h) if (Math.Abs(c.distanceToCenter - labelCircle.distanceToCenter) < h)
{ {
//两圆心之间的距离+直径小于W认为是同一个元器件 //两圆心之间的距离+直径小于W认为是同一个元器件
if (c.distanceToCircle(labelCircle) < w) if (c.distanceToCircle(labelCircle) < w+h*2/3)
{ {
groupCircle.Add(c); groupCircle.Add(c);
allreadyGroup.Add(i); allreadyGroup.Add(i);
...@@ -115,7 +115,7 @@ namespace AccImage ...@@ -115,7 +115,7 @@ namespace AccImage
} }
} }
} }
allGroupCircle.Add(groupCircle); allGroupCircle.Add(groupCircle);
if (allreadyGroup.Count == circles.Count) if (allreadyGroup.Count == circles.Count)
{ {
break; break;
......
Demo/MainForm.cs
...@@ -93,8 +93,8 @@ namespace Acc.Demo ...@@ -93,8 +93,8 @@ namespace Acc.Demo
imageBox.Image = orginalImage; imageBox.Image = orginalImage;
} }
private int markX = -1; private static int markX = -1;
private int markY = -1; private static int markY = -1;
private void imageBox_MouseDown(object sender, MouseEventArgs e) private void imageBox_MouseDown(object sender, MouseEventArgs e)
{ {
...@@ -148,7 +148,8 @@ namespace Acc.Demo ...@@ -148,7 +148,8 @@ namespace Acc.Demo
{ {
ClearStatusBar(); ClearStatusBar();
Image image = orginalImage; Image image = orginalImage;
int feature = ImageUtil.GetFeature(ref image, markX, markY); //int feature = ImageUtil.GetFeature(ref image, markX, markY);
int feature = ImageUtil.GetGrayValue(ref image, markX, markY);
textBoxFeature.Text = feature.ToString(); textBoxFeature.Text = feature.ToString();
imageBox.Image = image; imageBox.Image = image;
......
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