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Update proj2.html
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@@ -54,7 +54,7 @@ <h3>Part 1.1: Convolutions from Scratch!</h3>
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</p>
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<div align="center">
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<img src="images/orgbox.png" alt="orgbox.png" width="50%">
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<img src="images/orgboxblur.png" alt="orgbox.png" width="50%">
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</div>
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<p>
@@ -103,7 +103,7 @@ <h3>Part 1.3: Derivative of Gaussian (DoG) Filter</h3>
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To further improve edge visibility, we can first smooth out the noise by convolving the original image with a Gaussian filter. To generate one with dimensions <i>n &times; n</i>, we can take the outer product of 2 length <i>n</i> arrays. Below is the result of blurring the original image using a 5 &times; 5 Gaussian filter with &sigma; = 1:
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<div align="center">
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<img src="images/orggauss.png" alt="orggauss.png" width="50%">
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<img src="images/orggaussblur.png" alt="orggauss.png" width="50%">
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</div>
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<p>
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Applying the same edge detection process above, we get:

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