import org.bytedeco.javacv.Blobs;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;
import static org.bytedeco.javacpp.opencv_core.*;
import static org.bytedeco.javacpp.opencv_imgcodecs.*;
import static org.bytedeco.javacpp.opencv_imgproc.*;
///////////////////////////////////////////////////////////////////
//* *//
//* 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");
}
public static void demo()
{
int MinArea = 6;
int ErodeCount =0;
int DilateCount = 0;
IplImage RawImage = null;
// Read an image.
for(int k = 0; k < 7; k++)
{
if(k == 0) { RawImage = cvLoadImage("BlackBalls.jpg"); MinArea = 250; ErodeCount = 0; DilateCount = 1; }
else if(k == 1) { RawImage = cvLoadImage("Shapes1.jpg"); MinArea = 6; ErodeCount = 0; DilateCount = 1; }
else if(k == 2) { RawImage = cvLoadImage("Shapes2.jpg"); MinArea = 250; ErodeCount = 0; DilateCount = 1; }
else if(k == 3) { RawImage = cvLoadImage("Blob1.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; }
else if(k == 4) { RawImage = cvLoadImage("Blob2.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; }
else if(k == 5) { RawImage = cvLoadImage("Blob3.jpg"); MinArea = 2800; ErodeCount = 1; DilateCount = 1; }
else if(k == 6) { RawImage = cvLoadImage("Rice.jpg"); MinArea = 30; ErodeCount = 2; DilateCount = 1; }
//ShowImage(RawImage, "RawImage", 512);
IplImage GrayImage = cvCreateImage(cvGetSize(RawImage), IPL_DEPTH_8U, 1);
cvCvtColor(RawImage, GrayImage, CV_BGR2GRAY);
//ShowImage(GrayImage, "GrayImage", 512);
IplImage BWImage = cvCreateImage(cvGetSize(GrayImage), IPL_DEPTH_8U, 1);
cvThreshold(GrayImage, BWImage, 127, 255, CV_THRESH_BINARY);
//ShowImage(BWImage, "BWImage");
IplImage WorkingImage = cvCreateImage(cvGetSize(BWImage), IPL_DEPTH_8U, 1);
cvErode(BWImage, WorkingImage, null, ErodeCount);
cvDilate(WorkingImage, WorkingImage, null, DilateCount);
//ShowImage(WorkingImage, "WorkingImage", 512);
//cvSaveImage("Working.jpg", WorkingImage);
//PrintGrayImage(WorkingImage, "WorkingImage");
//BinaryHistogram(WorkingImage);
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();
for(int i = 1; i <= Blobs.MaxLabel; i++)
{
double [] Region = Blobs.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);
}
ShowImage(RawImage, "RawImage", 512);
cvReleaseImage(GrayImage); GrayImage = null;
cvReleaseImage(BWImage); BWImage = null;
cvReleaseImage(WorkingImage); WorkingImage = null;
}
cvReleaseImage(RawImage); RawImage = null;
}
// 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);
OpenCVFrameConverter converter = new OpenCVFrameConverter.ToIplImage();
canvas.showImage(converter.convert(image));
}
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);
}
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;
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;
System.out.println("\n" + caption);
System.out.print(" +");
for(int icol = MinX; icol < MaxX; icol++) System.out.print("-");
System.out.println("+");
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("+");
}
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);
}
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 WhitePixels / TotalPixels;
}
// 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);
int nChannels = Src.nChannels();
if(nChannels != 1)
{
System.out.println("ERROR: SkewGrayImage: Require 1 channel: nChannels=" + nChannels);
System.exit(1);
}
CvMat SrcMat = Src.asCvMat();
int SrcCols = SrcMat.cols();
int SrcRows = SrcMat.rows();
double WidthSkew = AbsSin * SrcRows;
double HeightSkew = AbsSin * SrcCols;
int DstCols = (int) ( SrcCols + WidthSkew );
int DstRows = (int) ( SrcRows + HeightSkew );
CvMat DstMat = cvCreateMat(DstRows, DstCols, CV_8UC1); // Type matches IPL_DEPTH_8U
cvSetZero(DstMat);
cvNot(DstMat, DstMat);
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));
}
}
IplImage Dst = cvCreateImage(cvSize(DstCols, DstRows), IPL_DEPTH_8U, 1);
Dst = DstMat.asIplImage();
return Dst;
}
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;
}
}