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README.md

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@@ -25,19 +25,19 @@ Codes (it'll send you to appropriate file):
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<br/>
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Experimental results (figures and tables on this page):
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* <a href="#RGB channels of the image separately">RGB channels of the image separately</a>
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* <a href="#Examples of Simple Filtering for Edge Detection">Examples of Simple Filtering for Edge Detection</a>
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* <a href="#Convolution of Images">Convolution of Images</a>
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* [RGB channels of the image separately](#rgb-channels-of-the-image-separately)
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* [Examples of Simple Filtering for Edge Detection](#examples-of-simple-filtering-for-edge-detection)
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* [Convolution of Images](#convolution-of-images)
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<br/>
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### <a name="RGB channels of the image separately">RGB channels of the image separately</a>
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### <a id="rgb-channels-of-the-image-separately">RGB channels of the image separately</a>
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![RGB_channels](images/RGB_channels_of_image.png)
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<br/>
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### <a name="Examples of Simple Filtering for Edge Detection">Examples of Simple Filtering for Edge Detection</a>
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### <a id="examples-of-simple-filtering-for-edge-detection">Examples of Simple Filtering for Edge Detection</a>
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Taking **RGB image** as input, converting it to **GrayScale**.
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<br/>Consider following part of the code:
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<br/>
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### <a name="Convolution of Images">Convolution of Images</a>
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### <a id="convolution-of-images">Convolution of Images</a>
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Implementing image processing via convolution operation.
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<br/>Creating function for convolution, defining filters and showing resulted images.
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