SDC Morphology Toolbox for Python-numpy 1.6

SDC Morphology Toolbox for Python–NumPy is a lightweight library for mathematical morphology that operates directly on NumPy arrays. It provides a clean, NumPy‑friendly API for common binary and grayscale image-processing tasks, making it easy to add morphology to scientific workflows, prototyping, or teaching without heavy dependencies.

Key features:

• Core morphological operations: erosion, dilation, opening, and closing
• Common derivatives: morphological gradient, top-hat, bottom-hat, and hit-or-miss
• Works with n-dimensional arrays (2D, 3D, and beyond)
• Custom structuring elements (e.g., square, disk, diamond, ball) and arbitrary masks
• Vectorized implementations designed for speed and clarity
• Seamless interoperability with NumPy, and easy to pair with SciPy, scikit-image, or OpenCV

Typical use cases include noise removal, gap filling, feature extraction, segmentation cleanup, and shape analysis in domains such as microscopy, materials science, remote sensing, and document processing. If you already use NumPy, this toolbox offers a straightforward way to incorporate robust morphological operations without leaving your existing data structures or workflow.

SDC Morphology Toolbox for Python-numpy is developed by SDC Information Systems. The most popular version of this product among our users is 1.6.

You can check Python pywin32-210, Python - simplejson, Python MySQL-python-1.2.3 and other related programs like OpenOPC for Python at the "download" section.