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* Included new
Blobs module from David Grossman and the correspond…
…ing `BlobDemo` sample
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,269 @@ | ||
| import com.googlecode.javacv.Blobs; | ||
| import com.googlecode.javacv.CanvasFrame; | ||
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| import static com.googlecode.javacv.cpp.opencv_core.*; | ||
| import static com.googlecode.javacv.cpp.opencv_highgui.*; | ||
| import static com.googlecode.javacv.cpp.opencv_imgproc.*; | ||
|
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| /////////////////////////////////////////////////////////////////// | ||
| //* *// | ||
| //* As the author of this code, I place all of this code into *// | ||
| //* the public domain. Users can use it for any legal purpose. *// | ||
| //* *// | ||
| //* - Dave Grossman *// | ||
| //* *// | ||
| /////////////////////////////////////////////////////////////////// | ||
| public class BlobDemo | ||
| { | ||
| public static void main(String[] args) | ||
| { | ||
| System.out.println("STARTING...\n"); | ||
| demo(); | ||
| System.out.println("ALL DONE"); | ||
| } | ||
|
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| public static void demo() | ||
| { | ||
| int MinArea = 6; | ||
| int ErodeCount =0; | ||
| int DilateCount = 0; | ||
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| IplImage RawImage = null; | ||
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| // Read an image. | ||
| for(int k = 0; k < 7; k++) | ||
| { | ||
| if(k == 0) { RawImage = cvLoadImage("Images/BlackBalls.jpg"); MinArea = 250; ErodeCount = 0; DilateCount = 1; } | ||
| else if(k == 1) { RawImage = cvLoadImage("Images/Shapes1.jpg"); MinArea = 6; ErodeCount = 0; DilateCount = 1; } | ||
| else if(k == 2) { RawImage = cvLoadImage("Images/Shapes2.jpg"); MinArea = 250; ErodeCount = 0; DilateCount = 1; } | ||
| else if(k == 3) { RawImage = cvLoadImage("Images/Blob1.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; } | ||
| else if(k == 4) { RawImage = cvLoadImage("Images/Blob2.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; } | ||
| else if(k == 5) { RawImage = cvLoadImage("Images/Blob3.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; } | ||
| else if(k == 6) { RawImage = cvLoadImage("Images/Rice.jpg"); MinArea = 30; ErodeCount = 2; DilateCount = 1; } | ||
| //ShowImage(RawImage, "RawImage", 512); | ||
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| IplImage GrayImage = cvCreateImage(cvGetSize(RawImage), IPL_DEPTH_8U, 1); | ||
| cvCvtColor(RawImage, GrayImage, CV_BGR2GRAY); | ||
| //ShowImage(GrayImage, "GrayImage", 512); | ||
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| IplImage BWImage = cvCreateImage(cvGetSize(GrayImage), IPL_DEPTH_8U, 1); | ||
| cvThreshold(GrayImage, BWImage, 127, 255, CV_THRESH_BINARY); | ||
| //ShowImage(BWImage, "BWImage"); | ||
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| IplImage WorkingImage = cvCreateImage(cvGetSize(BWImage), IPL_DEPTH_8U, 1); | ||
| cvErode(BWImage, WorkingImage, null, ErodeCount); | ||
| cvDilate(WorkingImage, WorkingImage, null, DilateCount); | ||
| //ShowImage(WorkingImage, "WorkingImage", 512); | ||
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| //cvSaveImage("Images/Working.jpg", WorkingImage); | ||
| //PrintGrayImage(WorkingImage, "WorkingImage"); | ||
| //BinaryHistogram(WorkingImage); | ||
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| Blobs Regions = new Blobs(); | ||
| Regions.BlobAnalysis( | ||
| WorkingImage, // image | ||
| -1, -1, // ROI start col, row | ||
| -1, -1, // ROI cols, rows | ||
| 1, // border (0 = black; 1 = white) | ||
| MinArea); // minarea | ||
| Regions.PrintRegionData(); | ||
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||
| for(int i = 1; i <= Blobs.MaxLabel; i++) | ||
| { | ||
| double [] Region = Regions.RegionData[i]; | ||
| int Parent = (int) Region[Blobs.BLOBPARENT]; | ||
| int Color = (int) Region[Blobs.BLOBCOLOR]; | ||
| int MinX = (int) Region[Blobs.BLOBMINX]; | ||
| int MaxX = (int) Region[Blobs.BLOBMAXX]; | ||
| int MinY = (int) Region[Blobs.BLOBMINY]; | ||
| int MaxY = (int) Region[Blobs.BLOBMAXY]; | ||
| Highlight(RawImage, MinX, MinY, MaxX, MaxY, 1); | ||
| } | ||
|
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| ShowImage(RawImage, "RawImage", 512); | ||
|
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| cvReleaseImage(GrayImage); GrayImage = null; | ||
| cvReleaseImage(BWImage); BWImage = null; | ||
| cvReleaseImage(WorkingImage); WorkingImage = null; | ||
| } | ||
| cvReleaseImage(RawImage); RawImage = null; | ||
| } | ||
|
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||
| // Versions with 2, 3, and 4 parms respectively | ||
| public static void ShowImage(IplImage image, String caption) | ||
| { | ||
| CvMat mat = image.asCvMat(); | ||
| int width = mat.cols(); if(width < 1) width = 1; | ||
| int height = mat.rows(); if(height < 1) height = 1; | ||
| double aspect = 1.0 * width / height; | ||
| if(height < 128) { height = 128; width = (int) ( height * aspect ); } | ||
| if(width < 128) width = 128; | ||
| height = (int) ( width / aspect ); | ||
| ShowImage(image, caption, width, height); | ||
| } | ||
| public static void ShowImage(IplImage image, String caption, int size) | ||
| { | ||
| if(size < 128) size = 128; | ||
| CvMat mat = image.asCvMat(); | ||
| int width = mat.cols(); if(width < 1) width = 1; | ||
| int height = mat.rows(); if(height < 1) height = 1; | ||
| double aspect = 1.0 * width / height; | ||
| if(height != size) { height = size; width = (int) ( height * aspect ); } | ||
| if(width != size) width = size; | ||
| height = (int) ( width / aspect ); | ||
| ShowImage(image, caption, width, height); | ||
| } | ||
| public static void ShowImage(IplImage image, String caption, int width, int height) | ||
| { | ||
| CanvasFrame canvas = new CanvasFrame(caption, 1); // gamma=1 | ||
| canvas.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE); | ||
| canvas.setCanvasSize(width, height); | ||
| canvas.showImage(image); | ||
| } | ||
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| public static void Highlight(IplImage image, int [] inVec) | ||
| { | ||
| Highlight(image, inVec[0], inVec[1], inVec[2], inVec[3], 1); | ||
| } | ||
| public static void Highlight(IplImage image, int [] inVec, int Thick) | ||
| { | ||
| Highlight(image, inVec[0], inVec[1], inVec[2], inVec[3], Thick); | ||
| } | ||
| public static void Highlight(IplImage image, int xMin, int yMin, int xMax, int yMax) | ||
| { | ||
| Highlight(image, xMin, yMin, xMax, yMax, 1); | ||
| } | ||
| public static void Highlight(IplImage image, int xMin, int yMin, int xMax, int yMax, int Thick) | ||
| { | ||
| CvPoint pt1 = cvPoint(xMin,yMin); | ||
| CvPoint pt2 = cvPoint(xMax,yMax); | ||
| CvScalar color = cvScalar(255,0,0,0); // blue [green] [red] | ||
| cvRectangle(image, pt1, pt2, color, Thick, 4, 0); | ||
| } | ||
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| public static void PrintGrayImage(IplImage image, String caption) | ||
| { | ||
| int size = 512; // impractical to print anything larger | ||
| CvMat mat = image.asCvMat(); | ||
| int cols = mat.cols(); if(cols < 1) cols = 1; | ||
| int rows = mat.rows(); if(rows < 1) rows = 1; | ||
| double aspect = 1.0 * cols / rows; | ||
| if(rows > size) { rows = size; cols = (int) ( rows * aspect ); } | ||
| if(cols > size) cols = size; | ||
| rows = (int) ( cols / aspect ); | ||
| PrintGrayImage(image, caption, 0, cols, 0, rows); | ||
| } | ||
| public static void PrintGrayImage(IplImage image, String caption, int MinX, int MaxX, int MinY, int MaxY) | ||
| { | ||
| int size = 512; // impractical to print anything larger | ||
| CvMat mat = image.asCvMat(); | ||
| int cols = mat.cols(); if(cols < 1) cols = 1; | ||
| int rows = mat.rows(); if(rows < 1) rows = 1; | ||
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| if(MinX < 0) MinX = 0; if(MinX > cols) MinX = cols; | ||
| if(MaxX < 0) MaxX = 0; if(MaxX > cols) MaxX = cols; | ||
| if(MinY < 0) MinY = 0; if(MinY > rows) MinY = rows; | ||
| if(MaxY < 0) MaxY = 0; if(MaxY > rows) MaxY = rows; | ||
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| System.out.println("\n" + caption); | ||
| System.out.print(" +"); | ||
| for(int icol = MinX; icol < MaxX; icol++) System.out.print("-"); | ||
| System.out.println("+"); | ||
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| for(int irow = MinY; irow < MaxY; irow++) | ||
| { | ||
| if(irow<10) System.out.print(" "); | ||
| if(irow<100) System.out.print(" "); | ||
| System.out.print(irow); | ||
| System.out.print("|"); | ||
| for(int icol = MinX; icol < MaxX; icol++) | ||
| { | ||
| int val = (int) mat.get(irow,icol); | ||
| String C = " "; | ||
| if(val == 0) C = "*"; | ||
| System.out.print(C); | ||
| } | ||
| System.out.println("|"); | ||
| } | ||
| System.out.print(" +"); | ||
| for(int icol = MinX; icol < MaxX; icol++) System.out.print("-"); | ||
| System.out.println("+"); | ||
| } | ||
|
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| public static void PrintImageProperties(IplImage image) | ||
| { | ||
| CvMat mat = image.asCvMat(); | ||
| int cols = mat.cols(); | ||
| int rows = mat.rows(); | ||
| int depth = mat.depth(); | ||
| System.out.println("ImageProperties for " + image + " : cols=" + cols + " rows=" + rows + " depth=" + depth); | ||
| } | ||
|
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| public static float BinaryHistogram(IplImage image) | ||
| { | ||
| CvScalar Sum = cvSum(image); | ||
| float WhitePixels = (float) ( Sum.getVal(0) / 255 ); | ||
| CvMat mat = image.asCvMat(); | ||
| float TotalPixels = mat.cols() * mat.rows(); | ||
| //float BlackPixels = TotalPixels - WhitePixels; | ||
| return ((float) WhitePixels) / TotalPixels; | ||
| } | ||
|
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| // Counterclockwise small angle rotation by skewing - Does not stretch border pixels | ||
| public static IplImage SkewGrayImage(IplImage Src, double angle) // angle is in radians | ||
| { | ||
| //double radians = - Math.PI * angle / 360.0; // Half because skew is horizontal and vertical | ||
| double sin = - Math.sin(angle); | ||
| double AbsSin = Math.abs(sin); | ||
|
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| int nChannels = Src.nChannels(); | ||
| if(nChannels != 1) | ||
| { | ||
| System.out.println("ERROR: SkewGrayImage: Require 1 channel: nChannels=" + nChannels); | ||
| System.exit(1); | ||
| } | ||
|
|
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| CvMat SrcMat = Src.asCvMat(); | ||
| int SrcCols = SrcMat.cols(); | ||
| int SrcRows = SrcMat.rows(); | ||
|
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| double WidthSkew = AbsSin * SrcRows; | ||
| double HeightSkew = AbsSin * SrcCols; | ||
|
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| int DstCols = (int) ( SrcCols + WidthSkew ); | ||
| int DstRows = (int) ( SrcRows + HeightSkew ); | ||
|
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| CvMat DstMat = cvCreateMat(DstRows, DstCols, CV_8UC1); // Type matches IPL_DEPTH_8U | ||
| cvSetZero(DstMat); | ||
| cvNot(DstMat, DstMat); | ||
|
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| for(int irow = 0; irow < DstRows; irow++) | ||
| { | ||
| int dcol = (int) ( WidthSkew * irow / SrcRows ); | ||
| for(int icol = 0; icol < DstCols; icol++) | ||
| { | ||
| int drow = (int) ( HeightSkew - HeightSkew * icol / SrcCols ); | ||
| int jrow = irow - drow; | ||
| int jcol = icol - dcol; | ||
| if(jrow < 0 || jcol < 0 || jrow >= SrcRows || jcol >= SrcCols) DstMat.put(irow, icol, 255); | ||
| else DstMat.put(irow, icol, (int) SrcMat.get(jrow,jcol)); | ||
| } | ||
| } | ||
|
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| IplImage Dst = cvCreateImage(cvSize(DstCols, DstRows), IPL_DEPTH_8U, 1); | ||
| Dst = DstMat.asIplImage(); | ||
| return Dst; | ||
| } | ||
|
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| public static IplImage TransposeImage(IplImage SrcImage) | ||
| { | ||
| CvMat mat = SrcImage.asCvMat(); | ||
| int cols = mat.cols(); | ||
| int rows = mat.rows(); | ||
| IplImage DstImage = cvCreateImage(cvSize(rows, cols), IPL_DEPTH_8U, 1); | ||
| cvTranspose(SrcImage, DstImage); | ||
| cvFlip(DstImage,DstImage,1); | ||
| return DstImage; | ||
| } | ||
| } | ||
|
|
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