-namespace Psychlops\r
+\r
+using System.Windows.Media.Imaging;\r
+namespace Psychlops\r
{\r
\r
public static class Figures\r
{\r
- /*\r
- public static void drawGrating(out Image img, int width , int height, double frequency, double contrast, double orientation, double phase)\r
- {\r
- if(img.width != width || img.height != height) img = new Image(width, height);\r
- double xp, yp, r, freq = frequency*2*PI;\r
- for(int y=0; y<height; y++) {\r
- yp = y-height/2.0;\r
- for(int x=0; x<width; x++) {\r
- xp = x-width/2.0;\r
- r = sqrt(xp*xp+yp*yp);\r
- img.pix_raw(x,y,\r
- Color(\r
- 0.5+0.5 * contrast* cos(freq* (sin(orientation)*xp-cos(orientation)*yp) + phase)\r
- )\r
- );\r
- }\r
- }\r
- }\r
\r
- public static void drawGaussian(out Image img, double sigma, double factor)\r
+ public static void drawGrating(double wavelength, double contrast, double orientation, double phase)\r
+ {\r
+ double freq = 2 * Math.PI / wavelength;\r
+ Canvas.default_buffer.ForEach(\r
+ (x, y) => new Color(.5 + .5 * Math.sin(phase + (Math.sin(orientation) * x - Math.cos(orientation) * y) * freq))\r
+ );\r
+ }\r
+\r
+ public static void drawGrating(ref Image img, int width, int height, double wavelength, double contrast, double orientation, double phase)\r
{\r
- const int width = (int)(sigma * 8), height = (int)(sigma * 8);\r
- if (img.width != width || img.height != height) img = new Image(width, height);\r
- double xp, yp, r, r2;\r
- for(int y=0; y<height; y++) {\r
- yp = y-height/2.0;\r
- for(int x=0; x<width; x++) {\r
- xp = x-width/2.0;\r
- r = sqrt(xp*xp+yp*yp);\r
- r2 = -(r*r) / (2.0*sigma*sigma);\r
- img.pix_raw(x,y,Color(factor*(exp(r2))));\r
- }\r
- }\r
+ double width_half = width / 2.0, height_half = height / 2.0;\r
+ if (img==null || img.width != width || img.height != height)\r
+ img = new Image(width, height);\r
+ double freq = 2 * Math.PI / wavelength;\r
+ img.field(\r
+ (x, y) => new Color(.5 +.5 * Math.sin(phase + (Math.sin(orientation)*x-Math.cos(orientation)*y) * freq))\r
+ );\r
}\r
- * */\r
+ public static void drawGaussian(ref Image img, double sigma, double factor)\r
+ {\r
+ int width = (int)(sigma * 8), height = (int)(sigma * 8);\r
+ double width_half = width / 2.0, height_half = height / 2.0;\r
+ if (img == null || img.width != width || img.height != height)\r
+ img = new Image(width, height);\r
+ img.field(\r
+ (x, y) => new Color(factor * Math.gaussian(Math.radius(x - width_half, y - height_half), width / 8.0))\r
+ );\r
+ }\r
\r
- public static void drawGabor(out Image img, double sigma, double wavelength, double contrast, double orientation, double phase)\r
+ public static void drawGabor(ref Image img, double sigma, double wavelength, double contrast, double orientation, double phase)\r
{\r
int width = (int)(sigma * 8), height = (int)(sigma * 8);\r
- //if (img.width != width || img.height != height)\r
+ double width_half = width / 2.0, height_half = height / 2.0;\r
+ if (img==null || img.width != width || img.height != height)\r
img = new Image(width, height);\r
double freq = 2 * Math.PI / wavelength;\r
img.field(\r
- (x, y) => new Color(.5 + Math.gaussian(Math.radius(x - width, y - height), width / 8.0) * .5 * Math.sin(phase + x * freq))\r
+ (x, y) => new Color(.5 + Math.gaussian(Math.radius(x - width_half, y - height_half), width / 8.0) * .5 * Math.sin(phase + (Math.sin(orientation)*x-Math.cos(orientation)*y) * freq))\r
);\r
}\r
\r