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https://github.com/sondosaabed/image-processing-in-python

Using scikit-image: Process, transform, and manipulate images, restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection.
https://github.com/sondosaabed/image-processing-in-python

face-detection filtering image-processing morphology noise python restoration scikit-image segmentation skimage transformation

Last synced: about 1 month ago
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Using scikit-image: Process, transform, and manipulate images, restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection.

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# Image-Processing-in-Python

Images are everywhere! We live in a time where images contain lots of information, which is sometimes difficult to obtain. This is why image pre-processing has become a highly valuable skill, applicable in many use cases.

In this course, I have learned to process, transform, and manipulate images, even when they come in thousands. I have also learned to restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection, and much more, using scikit-image.

After completing this course, I was able to apply my knowledge in my graduation project and many more.
## Statment Of Accomlishment
![Certificate](https://github.com/sondosaabed/Image-Processing-in-Python/assets/65151701/ce852de2-00e6-4d5f-a60a-c6780811ee8e)

### Course Material

![Material](https://github.com/sondosaabed/Image-Processing-in-Python/assets/65151701/7548c2be-f518-4618-932b-752732e4b383)