Image Augmentation Data Preparation Technique using Python Opencv Skimage PART-3

Published: 16 April 2018
on channel: Al Sangam

745

Hello friends

Today we will learn 3rd part of Image augmentation
In this part we will know about variouse type of effects on image.

In this part we will cover these effects:

1. Sharpen Effect
2. Emboss Effect
3. Edged Effect Sobel method
4. Addeptive Gaussian Noise Effect
5. Salt Effect
6. Paper Effect
7. Salt And Paper Effect
8. Contrast Effect
9. Edge Detect Canny method
10. Grayscale mode Effect

we will also see how we write its function and can also customise it according to our need

All the processing is done using Python, Opencv2, skimage, and Numpy

Git-Hub: https://github.com/AISangam/Image-Aug...

For any cases and query and mistake contact us or comment below. And stay tuned with us for upcoming videos.

For more Query/Help/Awareness visit at
http://www.aisangam.com/
Or directly Mail us at
aisangamofficial@gmail.com

Thank You

AI Sangam believes in providing quality service to the end user or clients. If you want any query or want to build AI Application, please email us at aisangamofficial@gmail.com. We will reflect you back. Our services are paid but we can provide free guidance or suggestions. For full fledged application you need to contact us at our email. Please donot forget to subscribe us.

On this page of the site you can watch the video online Image Augmentation Data Preparation Technique using Python Opencv Skimage PART-3 with a duration of hours minute second in good quality, which was uploaded by the user Al Sangam 16 April 2018, share the link with friends and acquaintances, this video has already been watched 745 times on youtube and it was liked by 2 viewers. Enjoy your viewing!

190