skcv-toolkit

Name	skcv-toolkit JSON
Version	0.1.0 JSON
	download
home_page	None
Summary	Santhosh Kumar Computer Vision Toolkit - A comprehensive computer vision toolkit for image processing and analysis
upload_time	2025-08-07 15:32:21
maintainer	None
docs_url	None
author	Santhosh Kumar
requires_python	>=3.7
license	MIT
keywords	computer vision image processing opencv numpy scikit-image
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # SKCV-Toolkit - Santhosh Kumar Computer Vision Toolkit

A comprehensive computer vision toolkit for image processing and analysis.

## Features

- **Histogram Equalization**: Various equalization methods for image enhancement
- **Filter Operations**: High-pass and low-pass filters for image processing
- **Neighborhood Operations**: Custom filters and neighborhood analysis
- **GUI Tools**: Interactive tools for image processing

## Installation

```bash
pip install skcv-toolkit
```

## Usage

```python
import skcv

# Use histogram equalization
from skcv.he.methods import equalizers

# Use filters
from skcv.hplp.filters import filters

# Use neighborhood operations
from skcv.neigh import custom_gui_filter
```

## Requirements

- Python 3.7+
- NumPy
- OpenCV
- Matplotlib
- Pillow
- scikit-image

            

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