How To Detect Edges of image In Python Project|ratan agarwal it informer
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How To Detect Edges of image In Python Project
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Project Prerequisites
1.you can install cv2 , numpy module
2.Some jpg pictures to manipulate
3. Methods
What about the video?
How To Detect Edges of Image in python project
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.
To detect the edges in an image, you can use the Canny() method
of cv2 which implements the Canny edge detector.
The Canny edge detector is also known as the optimal detector.
The syntax to Canny() is as follows:
cv2.Canny(image, minVal, maxVal)
Here minVal and maxVal are the minimum and maximum intensity gradient values respectively.
Consider the following code:
To Display image use methods
Imread() – read image
Type (image) – show type
Imshow() –show image
Waitkey() -to halt
main idea behind is -
The Canny edge detection algorithm is broken down to 5 steps:
Noise reduction
Gradient calculation
Non-maximum suppression
Double threshold
Edge Tracking by Hysteresis
which you can learn in details in advance
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