OpenCV Python Tutorial For Beginners 17 – Morphological Transformations

///OpenCV Python Tutorial For Beginners 17 – Morphological Transformations

OpenCV Python Tutorial For Beginners 17 – Morphological Transformations

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In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use Morphological Transformations with OpenCV. So this video We will learn different morphological operations like Erosion, Dilation, Opening, Closing etc. We will see different functions like : cv.erode(), cv.dilate(), cv.morphologyEx() etc.

Gist of code I used in this video (Morphological Transformations OpenCV Python Tutorial ) –

OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.

Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.

At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science.

Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems.

#ProgrammingKnowledge #ComputerVision #OpenCV
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By |2020-02-24T01:57:26+00:00February 24th, 2020|Python Video Tutorials|11 Comments

11 Comments

  1. ProgrammingKnowledge February 24, 2020 at 1:57 am - Reply

    Gist of code I used in this video (Morphological Transformations OpenCV Python Tutorial ) – http://www.codebind.com/python/opencv-python-tutorial-beginners-morphological-transformations/

  2. Rida El-Mehdawe February 24, 2020 at 1:57 am - Reply

    as usual, so good,

  3. Shashank Sharmadon February 24, 2020 at 1:57 am - Reply

    Thanks bro……

  4. 陳譽升 February 24, 2020 at 1:57 am - Reply

    Hi, thanks for your tutorial.
    May I inquire for the source of the image "smarties.png"?
    I can't find the same image, so I drew a new one using MS paint, but it returns error whenever I want to show the image.

  5. Dave Chaffey February 24, 2020 at 1:57 am - Reply

    Outstanding. Brilliant walk through

  6. Taufiq Idrus February 24, 2020 at 1:57 am - Reply

    i'm using pycharm, and when running my code instead of opening a new window, my matplotlib result is shown in the right side of pycharm. why?

  7. codetechnology February 24, 2020 at 1:57 am - Reply

    hello sir please i need your help in that your video of Video capture with opencv
    you wrote cap = cv2.VideoCapture(0)
    ret, frame = cap.read()
    i come across this
    ret = cap.grap() and frame = cap.retrieve() can you please make a video on how to use the
    grap() and retrieve() methods to get the return and frame of the capture video? i try to implement it but was not working. if you have any idea please help me with it thank you

  8. spappinv entor February 24, 2020 at 1:57 am - Reply

    Very useful course, right for me – it is not short and not long, clearly planned and smooth. Thank you very much.

  9. Nagashima February 24, 2020 at 1:57 am - Reply

    Very nice course. Thank you very much!

  10. Jordan Schlak February 24, 2020 at 1:57 am - Reply

    I forget, does OpenCV work with AMD graphics cards or just NVIDIA?

  11. Saurav Rana February 24, 2020 at 1:57 am - Reply

    sir this is a python

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