Crate ndarray_vision

Expand description

This crate is a computer vision and image analysis crate built on ndarray.

By using ndarray, this project aims to make full use of other crates in the ecosystem like ndarray_stats. This should also allow users to easily integrate other ndarray crates with ndarray-vision and avoid this crate becoming a monolith by fulfilling every potential usecase in a rather large field. Instead the main focus of this crate will be as follows:

An Image type which makes use of Rust to ensure proper and safe use
Conversions between different colour models
Encoding and decoding images
Image processing intrinsics like convolution and a selection of common filters
Common image enhancement algorithms
Geometric image transformations
Intrinsics required for feature detection and matching
Camera Calibration
Frequency domain image processing

This may seem like a lot but is still a lot less than OpenCV offers. Also, where possible algorithms will be used from other crates in the ecosystem when those operations aren’t Computer Vision specific. For example, ndarray-stats has histogram calculation.

This crate is a work in progress and as such most of these features aren’t yet present and those that are may not be stable. Although, there will be some effort to ensure things don’t break.

Modules

core
The core of ndarray-vision contains the Image type and colour models
enhancement
Image enhancement intrinsics and algorithms
format
Image formats - encoding and decoding images from bytes for saving and loading
morphology
Operations relating to morphological image processing
processing
Image processing intrinsics and common filters/algorithms.
transform
Image transforms and warping