Gray Level Run Length Matrix
Project description
python-glrlm
This is library of Gray Level Run Length Matrix, feature extraction method of image processing
Installation
pip install glrlm
Usage Example
from glrlm import GLRLM
import cv2
IMG_PATH = 'path_to_your/image'
img = cv2.imread(IMG_PATH)
app = GLRLM()
glrlm = app.get_features(img, 8)
Features extracted
Feature extraction result from GLRLM library
- SRE = Short Run Emphasis
- LRE = Long Run Emphasis
- GLU = Grey Level Uniformity
- RLU = Run Length Uniformity
- RPC = Run Percentage
Support
Reach me out on Email
Contribution
If you find out this library as useful please give it a star to let everyone know. If you have idea on how to improve this library, I am always open for every contributors. Thank you!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file glrlm-0.1.0.tar.gz.
File metadata
- Download URL: glrlm-0.1.0.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f5d47333098b2de64f7cb2124b78f7bf60fa17f3fb277ac6ff8b617e703f175a
|
|
| MD5 |
a9562c43ae94f181ca7c9a1f750f7c7d
|
|
| BLAKE2b-256 |
f0ee027acc8177c9e6ecb5c4575a14aa5e4eccdf267de0a1ad42052ddeefc6ba
|
File details
Details for the file glrlm-0.1.0-py3-none-any.whl.
File metadata
- Download URL: glrlm-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
888969baa2a6dfd211b486ba7957443de16cd391e4f3a7c6aaabf7aa4bbbfa36
|
|
| MD5 |
3f883294825e7bfdf2500e61399f6e25
|
|
| BLAKE2b-256 |
07d443e08222227a1c555c9888afd57701593c8daff43b769d0c56491ad43e23
|