Morphological Operators | Image Preprocessing | Hands-on Tutorial OpenCV | Morphological operators often take a binary image and a structuring element as input and combine them using a set operator (intersection, union, inclusion, complement). The process objects in the input image based on characteristics of its shape, which are encoded in the structuring element.

Morphological operators often take a binary image and a structuring element as input and combine them using a set operator (intersection, union, inclusion, complement). The process objects in the input image based on characteristics of its shape, which are encoded in the structuring element.

Mathematics behind Morphological Operators: https://www.mathworks.com/help/images/morphological-dilation-and-erosion.html

https://www.sciencedirect.com/topics/engineering/morphological-operator

Images; https://drive.google.com/file/d/1N3FuksLuyoMz3acmnNNrHu5yvSEk_Uw8/view?usp=sharing, https://drive.google.com/file/d/1aQc76_SZ-pnI1XKnBquieMhhxoXNDx7b/view?usp=sharing

Notebook: https://github.com/100ravp/Open-CV-Course/blob/main/Lesson-8%20Morphological%20Operators.ipynb

opencv artificial-intelligence machine-learning python data-science

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.