Crate img2svg 

img2svg - A high-quality image to SVG converter library

This library provides functionality to convert raster images (PNG, JPEG, etc.) into scalable vector graphics (SVG) format.

Features

• Color quantization using median-cut algorithm
• Marching squares contour tracing for accurate shape detection
• Ramer-Douglas-Peucker simplification for clean paths
• Gaussian smoothing for natural curves

Example

use img2svg::{convert, ConversionOptions};
use std::path::Path;

let options = ConversionOptions {
    num_colors: 16,
    smooth_level: 5,
    ..Default::default()
};

convert(Path::new("input.png"), Path::new("output.svg"), &options)
    .expect("Conversion failed");

Re-exports

pub use enhanced_vectorizer::generate_enhanced_svg;

pub use enhanced_vectorizer::vectorize_enhanced;

pub use enhanced_vectorizer::write_enhanced_svg;

pub use enhanced_vectorizer::EnhancedOptions;

pub use enhanced_vectorizer::EnhancedPath;

pub use enhanced_vectorizer::EnhancedVectorData;

pub use image_filters::median_filter;

pub use image_filters::prewitt_edge_detection;

pub use image_filters::roberts_edge_detection;

pub use image_filters::AdaptiveThreshold;

pub use image_filters::CannyEdgeDetector;

pub use image_filters::ColorOps;

pub use image_filters::ColorTemperature;

pub use image_filters::EmbossFilter;

pub use image_filters::GammaCorrection;

pub use image_filters::HistogramEqualizer;

pub use image_filters::LaplacianSharpen;

pub use image_filters::MorphologyKind;

pub use image_filters::MorphologyOp;

pub use image_filters::OtsuThreshold;

pub use image_filters::Saturation;

pub use image_filters::SepiaFilter;

pub use image_filters::UnsharpMask;

pub use image_filters::VignetteFilter;

pub use image_filters::VintageFilter;

pub use image_filters::CLAHE;

pub use image_filters::HSL;

pub use image_filters::LAB;

pub use image_processor::load_image;

pub use image_processor::quantize_colors;

pub use image_processor::ImageData;

pub use preprocessor::preprocess;

pub use preprocessor::PreprocessOptions;

pub use svg_generator::generate_svg;

pub use svg_generator::generate_svg_advanced;

pub use vectorizer::vectorize;

pub use vectorizer::Curve;

pub use vectorizer::Point;

pub use vectorizer::VectorizedData;

Modules

bezier_fitter

Least-squares cubic Bézier fitting with Newton-Raphson reparameterization.

edge_detector

Sobel edge detection for edge-aware quantization.

enhanced_quantizer

Enhanced color quantization with k-means++ initialization, k-means refinement, perceptual color distance, and edge-aware majority-vote smoothing.

enhanced_vectorizer

Enhanced vectorization pipeline ported from the vec project.

image_filters

Advanced image processing filters and algorithms

image_processor

path_simplifier

Visvalingam-Whyatt path simplification with corner preservation.

preprocessor

Image preprocessing for better vectorization results

region_extractor

Flood-fill region extraction with 8-connectivity and Moore neighborhood contour tracing. Replaces marching-squares for exact region margins.

svg_generator

vectorizer

Structs

ConversionOptions

Options for image to SVG conversion

Functions

convert

Convert an image file to SVG

convert_to_svg_string

Convert image data directly to SVG string

Type Aliases

Result

Result<T, Error>