methylDragon
diff --git a/‎01 OpenCV Basics and Image Processing.md‎
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diff --git a/‎assets/Cosmos_original.jpg‎
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diff --git a/‎assets/Cosmos_tophat.jpg‎
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@@ -1096,8 +1096,25 @@ gradient = cv.morphologyEx(img, cv.MORPH_GRADIENT, kernel)
 
 Difference between input and opening.
 
+> The white top-hat transform returns an image, containing those "objects" or "elements" of an input image that:
+>
+> - Are "smaller" than the structuring element (i.e., places where the structuring element does not fit in), and
+> - are **brighter** than their surroundings.
+>
+> **Before**
+>
+> ![img](assets/Cosmos_original.jpg)
+>
+> **After**
+>
+> ![img](assets/Cosmos_tophat.jpg)
+>
+> https://en.wikipedia.org/wiki/Top-hat_transform
+
 ![tophat.png](assets/tophat.png)
 
+You can use it for isolating bright objects under non-uniform illumination too!
+
 ```python
 tophat = cv.morphologyEx(img, cv.MORPH_TOPHAT, kernel)
 ```
@@ -1106,6 +1123,12 @@ tophat = cv.morphologyEx(img, cv.MORPH_TOPHAT, kernel)
 
 Difference between input and closing.
 
+> The black top-hat returns an image, containing the "objects" or "elements" that:
+>
+> - Are "smaller" than the structuring element, and
+> - are **darker** than their surroundings.
+> - https://en.wikipedia.org/wiki/Top-hat_transform
+
 ![blackhat.png](assets/blackhat.png)
 
 ```python