VisionX: A Comprehensive Image Processing Library in Rust

🚧 Under development

VisionX is a robust and comprehensive image processing library written in Rust. It aims to provide a wide range of functionalities similar to OpenCV, allowing developers to perform various image processing tasks efficiently and effectively with built-in batteries (image processing tools for different scenarios/use-cases)

Deliverables

Basic Image Manipulation

• Reading and Writing Images: Support for various formats like JPEG, PNG, BMP, etc.
• Resizing and Cropping: Functions to resize and crop images.
• Color Space Conversion: Conversion between different color spaces (RGB, Grayscale, HSV, etc.).

Image Enhancement

• Histogram Equalization: Enhance image contrast.
• Brightness and Contrast Adjustment: Modify image brightness and contrast.
• Smoothing (Blurring): Gaussian blur, median blur, bilateral filter.

Image Segmentation

• Thresholding: Global, adaptive, and Otsu's thresholding.
• Edge Detection: Sobel, Canny, Laplacian edge detectors.

Geometric Transformations

• Affine Transformations: Translation, rotation, scaling, and shearing.
• Perspective Transformations: Warp images using perspective transformations.

Morphological Operations

• Erosion and Dilation: Basic morphological operations.
• Opening and Closing: Noise removal and gap closing.

Image Filtering

• Convolution and Correlation: Custom kernel filtering.
• Non-Linear Filtering: Median filter, bilateral filter.

Utilities

• Drawing Functions: Draw lines, circles, rectangles, text on images.
• Mouse and Keyboard Event Handling: Interaction with images via GUI.

Installation

# Add this to your Cargo.toml:
[dependencies]
vision_x = "0.1.0"

// Then, add the following to your crate root:
use vision_x;

Usage/Examples

Here's a basic example of reading an image, converting it to grayscale, and saving the result:

use vision_x::core::Image;
use vision_x::io;

fn main() -> Result<()> {
    // Load an image from a file
    let img = io::read("path/to/image.jpg")?;

    // Convert the image to grayscale
    let gray_img = img.grayscale();

    // Save the grayscale image
    io::write("path/to/gray_image.jpg", &gray_img)?;

    // End of operation
    Ok(())
}

Contributing

Contributions are always welcome!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or issues, please open an issue on GitHub or contact at abhishek._.sriram@outlook.com.