www.pudn.com > neuroocr_src.zip > Receptor.cs

// Neural Network OCR 
// 
// Copyright © Andrew Kirillov, 2005 
// andrew.kirillov@gmail.com 
// 
 
using System; 
 
namespace NeuroOCR 
{ 
	/// 
 
	/// Summary description for Receptor. 
	/// 
 
	public class Receptor 
	{ 
		private int		x1, y1, x2, y2; 
		private int		left, top, right, bottom; 
		private float	k, z; 
		private float	a, b, c, d; 
 
		// X1 property 
		public int X1 
		{ 
			get { return x1; } 
		} 
		// Y1 property 
		public int Y1 
		{ 
			get { return y1; } 
		} 
		// X2 property 
		public int X2 
		{ 
			get { return x2; } 
		} 
		// Y2 property 
		public int Y2 
		{ 
			get { return y2; } 
		} 
 
		// Constructor 
		public Receptor(int x1, int y1, int x2, int y2) 
		{			 
			this.x1 = x1; 
			this.y1 = y1; 
			this.x2 = x2; 
			this.y2 = y2; 
 
			left	= Math.Min(x1, x2); 
			right	= Math.Max(x1, x2); 
			top		= Math.Min(y1, y2); 
			bottom	= Math.Max(y1, y2); 
 
			if (x1 != x2) 
			{ 
				k = (float) (y2 - y1) / (float) (x2 - x1); 
				z = (float) y1 - k * x1; 
 
				a = y1 - y2; 
				b = x2 - x1; 
				c = y1 * (x1 - x2) + x1 * (y2 - y1); 
				d = (float) Math.Sqrt(a * a + b * b); 
			} 
		} 
 
		// Check receptor state 
		public bool GetReceptorState(int x, int y) 
		{ 
			// check, if the point is in receptors bounds 
			if ((x < left) || (y < top) || (x > right) || (y > bottom)) 
				return false; 
 
			// check for horizontal and vertical receptors 
			if ((x1 == x2) || (y1 == y2)) 
				return true; 
 
			// check if the point is on the receptors line 
 
			// more fast, but not very accurate 
//			if ((int)(k * x + z - y) == 0) 
//				return true; 
 
			// more accurate version 
			if (Math.Abs(a * x + b * y + c) / d < 1) 
				return true; 
 
			return false; 
		} 
	} 
}