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Merge pull request #7442 from catree:morphology_additional_information
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@ -44,6 +44,14 @@ Morphological Operations
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The background (bright) dilates around the black regions of the letter.
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To better grasp the idea and avoid possible confusion, in this another example we have inverted the original
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image such as the object in white is now the letter. We have performed two dilatations with a rectangular
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structuring element of size `3x3`.
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![Left image: original image inverted, right image: resulting dilatation](images/Morphology_1_Tutorial_Theory_Dilatation_2.png)
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The dilatation makes the object in white bigger.
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### Erosion
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- This operation is the sister of dilation. What this does is to compute a local minimum over the
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@ -56,6 +64,13 @@ The background (bright) dilates around the black regions of the letter.
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![](images/Morphology_1_Tutorial_Theory_Erosion.png)
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In the same manner, the corresponding image resulting of the erosion operation on the inverted original image (two erosions
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with a rectangular structuring element of size `3x3`):
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![Left image: original image inverted, right image: resulting erosion](images/Morphology_1_Tutorial_Theory_Erosion_2.png)
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The erosion makes the object in white smaller.
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Code
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@ -24,7 +24,7 @@ In the previous tutorial we covered two basic Morphology operations:
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- Dilation.
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Based on these two we can effectuate more sophisticated transformations to our images. Here we
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discuss briefly 05 operations offered by OpenCV:
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discuss briefly 5 operations offered by OpenCV:
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### Opening
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@ -40,6 +40,11 @@ discuss briefly 05 operations offered by OpenCV:
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![](images/Morphology_2_Tutorial_Theory_Opening.png)
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For the sake of clarity, we have performed the opening operation (`7x7` rectangular structuring element)
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on the same original image but inverted such as the object in white is now the letter.
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![Left image: original image inverted, right image: resulting opening](images/Morphology_2_Tutorial_Theory_Opening_2.png)
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### Closing
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- It is obtained by the dilation of an image followed by an erosion.
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@ -50,6 +55,10 @@ discuss briefly 05 operations offered by OpenCV:
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![](images/Morphology_2_Tutorial_Theory_Closing.png)
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On the inverted image, we have performed the closing operation (`7x7` rectangular structuring element):
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![Left image: original image inverted, right image: resulting closing](images/Morphology_2_Tutorial_Theory_Closing_2.png)
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### Morphological Gradient
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- It is the difference between the dilation and the erosion of an image.
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