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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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