MorphoLibJ

MorphoLibJ implements mathematical morphology algorithms to perform segmentation, shape-based feature extraction, and analysis of binary and grey-level 2D and 3D biological images.

Key Features:

• Mathematical morphology operators: Provides a comprehensive collection of morphological operators for analyzing image shapes and topology.
• Binary and grey-level support: Operates on both binary and grey-level images for a range of contrast and labeling scenarios.
• 2D and 3D/volumetric processing: Processes two-dimensional and three-dimensional datasets, enabling volumetric image analysis.
• Segmentation and feature extraction: Implements operators that enable precise segmentation and extraction of morphological features from images.

Scientific Applications:

• Plant tissue 3D analysis: Processes 3D images of plant tissues for detailed morphological characterization.
• Biological image quantification: Segments and quantifies structures in 2D and 3D biological images for morphological studies.

Methodology:

Applies mathematical morphology operators to perform shape-based feature extraction, segmentation, and analysis of 2D and 3D image datasets.