OpenCV - Revision history

Anko: CircleF[] circles = gray.HoughCircles( cannyThreshold, circleAccumulatorThreshold, 5.0, //Resolution of the accumulator used to detect centers of the circles 10.0, //min distance 5, //min radius 0 //max radius )[0]; //Get the

2015-02-05T13:57:22Z

CircleF[] circles = gray.HoughCircles( cannyThreshold, circleAccumulatorThreshold, 5.0, //Resolution of the accumulator used to detect centers of the circles 10.0, //min distance 5, //min radius 0 //max radius )[0]; //Get the

Anko: /* Намиране ръбове */

2015-02-05T13:38:10Z

Намиране ръбове

Anko: /* vv */

2015-02-05T12:41:32Z

Anko: /* типове данни */

2015-02-05T12:40:00Z

типове данни

Anko: /* Рисуване */

2015-02-04T21:01:23Z

Рисуване

Anko: /* Рисуване */

2015-02-04T20:53:35Z

Рисуване

Anko: /* типове данни */

2015-02-04T20:40:28Z

типове данни

Anko: /* типове данни */

2015-02-04T19:27:23Z

типове данни

Anko: /* */

2015-02-04T19:26:44Z

Anko: /* типове данни */

2015-02-04T10:33:06Z

типове данни

← Older revision		Revision as of 13:57, 5 February 2015
Line 153:		Line 153:

	Image<Gray, Byte> cannyEdges = gray.Canny(180, 120);//cannyThreshold, cannyThresholdLinking);		Image<Gray, Byte> cannyEdges = gray.Canny(180, 120);//cannyThreshold, cannyThresholdLinking);
		+
		+	*проследяване на контури
		+	CircleF[] circles = gray.HoughCircles(
		+	cannyThreshold,
		+	circleAccumulatorThreshold,
		+	5.0, //Resolution of the accumulator used to detect centers of the circles
		+	10.0, //min distance
		+	5, //min radius
		+	0 //max radius
		+	)[0]; //Get the circles from the first channel

	== Региони ==		== Региони ==

← Older revision		Revision as of 13:38, 5 February 2015
Line 151:		Line 151:

	Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.		Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.
		+
		+	Image<Gray, Byte> cannyEdges = gray.Canny(180, 120);//cannyThreshold, cannyThresholdLinking);
		+
		+	== Региони ==

← Older revision		Revision as of 12:41, 5 February 2015
Line 148:		Line 148:
	Int32 (int)		Int32 (int)

−	==vv==	+	== Намиране ръбове ==
		+
		+	Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.

@@ Line 114: / Line 114: @@
 **Int32 (int)
 *Зарежда на изображение от файл
   Image<Rgb, Byte> img1 = new Image<Rgb, Byte>("c:/xxx/lenna.jpg");

← Older revision		Revision as of 21:01, 4 February 2015
Line 134:		Line 134:
	img.Draw(rec, new Bgr(255, 255, 0), 2);		img.Draw(rec, new Bgr(255, 255, 0), 2);
	pictureBox1.Image = img.Bitmap;		pictureBox1.Image = img.Bitmap;
		+
		+	==Matrici==
		+	Depth as Generic Parameter
		+	A Matrix is defined by its generic parameters depth. To create a 32bit floating point matrix, in Emgu CV it is done by calling
		+	Matrix<Single> matrix = new Matrix<Single>(width, height);
		+	Matrix Depth
		+	The types of depth supported in Emgu CV 1.4.0.0 include
		+	Byte
		+	SByte
		+	Single (float)
		+	Double
		+	UInt16
		+	Int16
		+	Int32 (int)
		+
		+	==vv==

@@ Line 128: / Line 128: @@
 ==Рисуване==
 Използване на ''Draw()''
+ Image<Bgr, Byte> img = new Image<Bgr, Byte>(256, 256, new Bgr(255, 0, 0));
-            Point p = new Point(20, 20);
+ Point p = new Point(20, 20);
-            Size r = new Size(20,20);
+ Size r = new Size(20,20);
-            Rectangle rec = new Rectangle( p, r);
+ Rectangle rec = new Rectangle( p, r);
+ img.Draw(rec, new Bgr(255, 255, 0), 2);
-            img.Draw(rec, new Bgr(255, 255, 0), 2);
+ pictureBox1.Image = img.Bitmap;

← Older revision		Revision as of 20:40, 4 February 2015
Line 122:		Line 122:
	Image<Bgr, Byte> img = new Image<Bgr, Byte>(256, 256, new Bgr(255, 0, 0));		Image<Bgr, Byte> img = new Image<Bgr, Byte>(256, 256, new Bgr(255, 0, 0));
	''new Bgr(255, 0, 0)'' - създава цвета		''new Bgr(255, 0, 0)'' - създава цвета
		+
		+	==Конвертране==
		+	Image<Gray, Byte> gray = img1.Convert<Gray, Byte>();
		+
		+	==Рисуване==
		+	Използване на ''Draw()''
		+
		+	Point p = new Point(20, 20);
		+	Size r = new Size(20,20);
		+	Rectangle rec = new Rectangle( p, r);
		+
		+	img.Draw(rec, new Bgr(255, 255, 0), 2);

@@ Line 120: / Line 120: @@
   Image<Bgr, Byte> img1 = new Image<Bgr, Byte>(480, 320);
 *Създаване на празно избражение със син фон
   Image<Bgr, Byte> img = new Image<Bgr, Byte>(256, 256, new Bgr(255, 0, 0));

← Older revision		Revision as of 19:26, 4 February 2015
Line 115:		Line 115:

	[[Canny Edge Detector]]		[[Canny Edge Detector]]
−	== ==	+	*Зарежда на изображение от файл
		+	Image<Rgb, Byte> img1 = new Image<Rgb, Byte>("c:/xxx/lenna.jpg");
		+	*Създаване на празно избражение
		+	Image<Bgr, Byte> img1 = new Image<Bgr, Byte>(480, 320);
		+	*Създаване на празно избражение със син фон
		+	Image<Bgr, Byte> img = new Image<Bgr, Byte>(256, 256, new Bgr(255, 0, 0));

← Older revision		Revision as of 10:33, 4 February 2015
Line 113:		Line 113:
	**Int16		**Int16
	**Int32 (int)		**Int32 (int)
		+
		+	[[Canny Edge Detector]]
		+	== ==