iamxt

iamxt implements array-based max-tree construction and manipulation for mathematical morphology and image processing using Python and NumPy.

Key Features:

• Max-tree algorithms: Provides advanced techniques for constructing and manipulating max-trees and component trees for morphological analysis.
• Visualization tools: Includes tools to explore tree structure and examine the contents of nodes.
• Array-based implementation (NumPy): Uses NumPy arrays to perform efficient array operations and represent tree data.

Scientific Applications:

• Mathematical morphology research: Enables development and analysis of morphological operators and component-tree-based methods using max-trees.
• Image processing research: Supports image analysis and processing workflows that rely on max-tree or component-tree representations.

Methodology:

Implemented in Python and leveraging NumPy, the toolbox provides array-based algorithms for constructing and manipulating max-trees and tools for visualizing tree structure and node contents.