Package Ch25_SIFT

Class SIFT_Detection_Demo

java.lang.Object
Ch25_SIFT.SIFT_Detection_Demo
All Implemented Interfaces:
PlugInFilter, JavaDocHelp

public class SIFT_Detection_Demo extends Object implements PlugInFilter, JavaDocHelp

This plugin extracts multi-scale SIFT features [1] from the current image and displays them as M-shaped markers. The list of keypoints (if shown) is sorted by descending magnitude. The input image is always converted to grayscale before SIFT feature detection is performed. See Ch. 25 of [2] for details. If no image is currently open, the user is asked to load a predefined sample image.

[1] D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60, 91–110 (2004).
[2] W. Burger, M.J. Burge, Digital Image Processing – An Algorithmic Introduction, 3rd ed, Springer (2022).

Version:
2022/04/01
See Also: