| Rev | Line |   | 
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| [390] | 1 | sampler Image : register(s0); | 
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 | 2 |  | 
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 | 3 | // The Laplace filter approximates the second order derivate, | 
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 | 4 | // that is, the rate of change of slope in the image. It can be | 
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 | 5 | // used for edge detection. The Laplace filter gives negative | 
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 | 6 | // response on the higher side of the edge and positive response | 
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 | 7 | // on the lower side. | 
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 | 8 |  | 
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 | 9 | // This is the filter kernel: | 
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 | 10 | // 0  1  0 | 
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 | 11 | // 1 -4  1 | 
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 | 12 | // 0  1  0 | 
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 | 13 |  | 
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 | 14 |  | 
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 | 15 |  | 
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 | 16 | float4 Laplace_ps (float2 texCoord: TEXCOORD0, | 
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 | 17 |                         uniform float scale, | 
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 | 18 |                         uniform float pixelSize) : COLOR | 
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 | 19 | { | 
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 | 20 |  | 
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 | 21 |     float2 samples[4] = { | 
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 | 22 |         0, -1, | 
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 | 23 |        -1,  0, | 
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 | 24 |         1,  0, | 
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 | 25 |         0,  1 | 
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 | 26 |     }; | 
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 | 27 |    float4 laplace = -4 * tex2D(Image, texCoord); | 
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 | 28 |  | 
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 | 29 |    // Sample the neighbor pixels | 
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 | 30 |    for (int i = 0; i < 4; i++){ | 
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 | 31 |       laplace += tex2D(Image, texCoord + pixelSize * samples[i]); | 
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 | 32 |    } | 
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 | 33 |  | 
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 | 34 |    return (0.5 + scale * laplace); | 
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 | 35 | } | 
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 | 36 |  | 
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