Prewitt operator for edge detection
The Prewitt operator is one of the first algorithms for edge detection by gradient transform. It is developed by Judith M. S. Prewitt and is a popular tool for image …
Edge Detection
Edge Detection is an important process in image processing and computer vision. Edges describe the boundaries of objects, which is why they play a key role in many shape recognition algorithms. This section lists various contour detection methods that are often part of solving computer vision problems. Like gradient detection, zero crossing, etc.
Harris Corner Detector: How to find key-points in pictures
Harris Corner Detector is a popular computer vision algorithm used to detect key points in images and video. Corners are important features of the image, as they provide useful information …
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Gradient Non-Maximum Suppression
Gradient non-maximum suppression is an edge thinning algorithm that extracts thin contours of objects in an image. The output of this image processing algorithm is contour curves that are one …
Sobel-Feldman filter: Edge Detection and Gradient Extraction
The Sobel filter (also called Sobel-Feldman operator) is an edge detection algorithm, that results in image emphasizing edges. Computer vision apps often use this image processing technique to extract the …
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Median Filter – edge preserving filter tutorial
The Median filter is a nonlinear noise reduction technique that is widely used in image processing. It is very effective in cases of salt and paper noise (impulsive noise) and …
Hough Transform – Basic Shape Detection
The Hough Transform is a method to find shapes in an image. The classical transformation is initially designed to identify lines in the image. Later the transform extends to identify …