- How an edge of the image is detected?
- What is fuzzy edge detection?
- Which method is used for edge detection?
- Which filter is used for edge detection in images?
How an edge of the image is detected?
Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision.
What is fuzzy edge detection?
The developed edge detection technique for noisy images is based on fuzzy logic. A 3x3 window mask was designed to take the greyscale values of neighborhood pixels from the input image. The greyscale values of the neighborhood pixels obtained from the mask were pre-processed prior to the fuzzy inference system.
Which method is used for edge detection?
Laplacian of Gaussian
In an image, Laplacian is the highlighted region in which rapid intensity changes and it is also used for edge detection. The Laplacian is applied to an image which is been smoothed using a Gaussian smoothing filter to reduce the sensitivity of noise.
Which filter is used for edge detection in images?
The Laplacian filter, which can be used to emphasize the edges in an image, highlights the regions in which there is a rapid intensity change using a discrete convolution kernel that approximates the second derivatives of the image in the definition of the Laplacian.