@@ -1096,8 +1096,25 @@ gradient = cv.morphologyEx(img, cv.MORPH_GRADIENT, kernel)
10961096
10971097Difference between input and opening.
10981098
1099+ > The white top-hat transform returns an image, containing those "objects" or "elements" of an input image that:
1100+ >
1101+ > - Are "smaller" than the structuring element (i.e., places where the structuring element does not fit in), and
1102+ > - are ** brighter** than their surroundings.
1103+ >
1104+ > ** Before**
1105+ >
1106+ > ![ img] ( assets/Cosmos_original.jpg )
1107+ >
1108+ > ** After**
1109+ >
1110+ > ![ img] ( assets/Cosmos_tophat.jpg )
1111+ >
1112+ > https://en.wikipedia.org/wiki/Top-hat_transform
1113+
10991114![ tophat.png] ( assets/tophat.png )
11001115
1116+ You can use it for isolating bright objects under non-uniform illumination too!
1117+ 11011118``` python
11021119tophat = cv.morphologyEx(img, cv.MORPH_TOPHAT , kernel)
11031120```
@@ -1106,6 +1123,12 @@ tophat = cv.morphologyEx(img, cv.MORPH_TOPHAT, kernel)
11061123
11071124Difference between input and closing.
11081125
1126+ > The black top-hat returns an image, containing the "objects" or "elements" that:
1127+ >
1128+ > - Are "smaller" than the structuring element, and
1129+ > - are ** darker** than their surroundings.
1130+ > - https://en.wikipedia.org/wiki/Top-hat_transform
1131+
11091132![ blackhat.png] ( assets/blackhat.png )
11101133
11111134``` python
0 commit comments