Howtosignalprocessing
- How do I improve edge detection in OpenCV?
- How does edge detection work in OpenCV?
- What effect do you believe the Gaussian kernal size has on edge detection?
- What is aperture size in Canny edge detection?
How do I improve edge detection in OpenCV?
Learn edge detection with OpenCV
Converting the image into grayscale is necessary because the edge detection operator works with grayscale. The Gaussian blur is used to reduce the noise in the image which is an important preprocessing step. Plotting the query image after the conversion.
How does edge detection work in OpenCV?
Edge detection is an image-processing technique, which is used to identify the boundaries (edges) of objects, or regions within an image. Edges are among the most important features associated with images. We come to know of the underlying structure of an image through its edges.
What effect do you believe the Gaussian kernal size has on edge detection?
Increasing the width of the Gaussian kernel reduces the detector's sensitivity to noise, at the expense of losing some of the finer detail in the image. The localization error in the detected edges also increases slightly as the Gaussian width is increased.
What is aperture size in Canny edge detection?
Canny() function with Aperture_size
The default value is 3 and its value should be odd between 3 and 7. You can increase the Aperture size when you want to detect more detailed features.
