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Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library.
Features
- Detection of structures and objects within images. Structures and objects are detected within images alongside properties like max pixel, brightness, position and size.
- Significant pixel detection with k-sigma clipping. This can reduce the background noise in an image resulting in a better structure and object detection. Various K-sigma clipping levels are supported including custom user defined clipping coefficients.
- A'trous Wavelet convolution and deconvolution of images. The A'trous "with holes" image convolution is supported with either a linear or bicubic mask.
- Image transformations, i.e. add, subtract, multiply etc. Most general operators are supported. Can be used for stacking, flats, dark frames.
- Runtime detection of CPU SIMD support for processing with SSE, AVX, AVX2 and FMA on x86 architectures
- OpenMP support for parallel processing of data sets.
Project Samples
Categories
Data Visualization, Astronomy, Object Detection Models, Image Processing, Image Processing LibrariesLicense
GNU Library or Lesser General Public License version 2.0 (LGPLv2)Follow libsombrero
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