package_name
Description. The package image_processing_clahe implements the CLAHE (Contrast Limited Adaptive Histogram Equalization) algorithm, which is used for image processing and contrast improvement, especially in very light or dark areas, and is an extension of AHE (Adaptive Histogram Equalization).
Requirements OpenCV e Matplotlib.
Installation
Use the package manager pip to install image_processing_clahe
pip install image_processing_clahe
Usage
from image_processing_clahe.algoritmo import process_image, plot_img
Author
Lucenara_Pereira
License
Release files for image-processing-clahe 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| image_processing_clahe-0.0.3.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| image_processing_clahe-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:5.4 kB
Release files / image_processing_clahe-0.0.3.tar.gz
| Download URL | image_processing_clahe-0.0.3.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.11.9
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Release files / image_processing_clahe-0.0.3-py3-none-any.whl
| Download URL | image_processing_clahe-0.0.3-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
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