OpenCV Python Tutorial For Beginners 20 - Canny Edge Detection in OpenCV

In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use Canny Edge Detection in OpenCV. OpenCV provides method called Canny for Canny edge detector.
The Canny edge detection algorithm is broken down to 5 steps:

Noise reduction;
Gradient calculation;
Non-maximum suppression;
Double threshold;
Edge Tracking by Hysteresis.

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.

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[PraveenKumar-qmjn]

if Beginner will learn this much in OpenCV (as course title is), then what a Professional should know!

[ajinkyarathod]

3:02 Thanks. I did not know that *Hysteresis* was used at this stage.

[robinlow]

Dear Sir,
I am a Software Engineering student,
may I know what is meant by the 100 and 200 for the cv2.canny(img, 100, 200)?

[chudchadanstud]

Hi can you link the rest of the playlist in your description. It's hard to find the rest of the series

[KaranChecker]

Can we do a bitwise or on the Canny Edge output and the Sobel combined output?

[mostafael-sayed]

i want to create roberry detection system and I want to know the best algorithm to use ?

[darshitgajera]

Hey,
Can I use trackbars with the matplot library? I am not able to find any documents. Any help?

[souviksamanta]

While using the Trackbar for 2 Kernel values, I saw that the Kernel Values have no limits, I can take even a value of 1000 where the image shape is only (342, 548). why is it so??

[harissahmanovic]

How can i apply this to a whole directory full of images so i can run this program and have a bunch of images with the canny edge applied to it.

[rishabhkothari]

Can someone share their trackbar code for this? For me its opening a trackbar window, but soon goes not responding and happen to close.
Thank you ! in advance

[eveohagan]

is there a way to get a canny value output?

[mustafael-shinhab]

Image data of dtype object cannot be converted to float, I get that error when I run it, how to fix it?

[rahulmarathe]

hey i want to detect only right hand off messy in an image and want to print that in output.How could i?
Anyone please help me.

[kunjchoksi]

Has anyone integrated Trackbar with MatplotLib? I need a reference to implement this with trackbars.
Thanks

[raviprakash]

Hi, I am Facing an Error executing canny edge detection file..Below is the Error, not sure what is wrong pls help
If i am running without this 2nd file, it is showing blank Images..

TypeError Traceback (most recent call last)
in <module>()
1 for i in range(2) :
----> 2 plt.subplot(1, 2, i+1), plt.imshow(images[i], 'gray')
3 plt.title(titles[i])
4 plt.xticks([]), plt.yticks([])
5 plt.show()

5 frames
in set_data(self, A)
692 not np.can_cast(self._A.dtype, float, "same_kind")):
693 raise TypeError("Image data of dtype {} cannot be converted to "
--> 694
695
696 if not (self._A.ndim == 2

TypeError: Image data of dtype object cannot be converted to float