https://github.com/sunsided/energy-based-cropping
Energy-based cropping, automatic energy thresholding, optimal grayscale conversion and generic SIFT nonsense
https://github.com/sunsided/energy-based-cropping
computer-vision cropping entropy image-processing matlab sift
Last synced: about 1 year ago
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Energy-based cropping, automatic energy thresholding, optimal grayscale conversion and generic SIFT nonsense
- Host: GitHub
- URL: https://github.com/sunsided/energy-based-cropping
- Owner: sunsided
- Created: 2023-08-18T22:40:39.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-18T22:41:06.000Z (almost 3 years ago)
- Last Synced: 2025-02-13T08:28:27.818Z (over 1 year ago)
- Topics: computer-vision, cropping, entropy, image-processing, matlab, sift
- Language: MATLAB
- Homepage:
- Size: 7.19 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Feature detection /dev/rand
Matlab scripts for different feature detection purposes.
## Energy-based cropping
In `entropy_crop`, some examples can be found (`ncropX.m`). Additionally,
`crop_example.m` automatically derives the energy threshold from inspecting the variation in border regions of the image.
## Conversion
The code in `conversion` performs different color space conversions to grayscale in order to evaluate the proposed `Gleam` conversion method.
## Sift
The `sift` directory contains scale-space maxima detection as described in Lowe's paper on SIFT.