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| 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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