feature extraction

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GiovanniCardone's picture


imageHTS is an R/Bioconductor package dedicated to the analysis of high-throughput microscopy-based screens. The package provides a modular and extensible framework to segment cells, extract quantitative cell features, predict cell types and browse screen data through web interfaces. Designed to operate in distributed environments, imageHTS provides a standardized access to remote data and facilitates the dissemination of high-throughput microscopy-based datasets.

marielaureb's picture

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kota's picture


MATLAB is famous, so this page is only for being the landing page for components and workflows.

dscho's picture


EBImage is an open source image processing and analysis package for the statistical programming language R. Its primary goal is to enable automated analysis of large sets of images such as those obtained in high-throughput screening. An extensive range of basic image processing and feature extraction methods are provided. EBImage is available through the Bioconductor software project (www.bioconductor.org).


dscho's picture


This library gives the numpy-based infrastructure functions for image processing with a focus on bioimage informatics. It provides image filtering and morphological processing as well as feature computation (both image-level features such as Haralick texture features and SURF local features). These can be used with other Python-based libraries for machine learning to build a complete analysis pipeline.

Mahotas is appropriate for users comfortable with programming or builders of end-user tools.

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