Morphological Image Processing for C++

Discover the power of Morphological Image Processing with the SDC Morphology Toolbox for C++ (Latest version is 1.6 March 31, 2008).

The SDC Morphology Toolbox for C++ is a powerful collection of latest gray-scale morphological tools that can be applied to image segmentation, non-linear filtering, pattern recognition and image analysis.

The toolbox includes an interface to Intel OpenCV open-source image processing toolkit so that images are converted automatically to/from OpenCV images. OpenCV functions are used for image display and file read/write. For plotting the toolbox uses the Gnuplot plotting package.

Download a free fully functional 30-day evaluation version of the toolbox.

Features

• Very fast connected components labeling (Union-find algorithm)
• MaxTree-based connected operators
  • Attribute openings: Area, Volume, Height, Bounding-Box
  • Regional maxima dynamics
  • Marker propagation
• Most operators work for binary and gray-scale images
• Image (2D arrays), volume or sequence processing  (3D arrays) and signal processing (1D arrays)
• Support for structuring elements in decomposed form (faster algorithms)
• Planar and non-planar structuring elements
• Images represented in byte, short and signed integer data types
• Fast queue-based algorithms for distance transform, watershed, morphological reconstruction, labeling, area-opening, etc.
• Fast binary operations using intrinsic 32 bit parallel operations available in 32 bit machines

Main classes of operators

• Gray-scale Dilation & Erosion 
• Morphological Filters: opening, closing, alternating sequential filters 
• Connected Operators: watershed, open and close by reconstruction, labeling, regional maxima and minima, alternating sequential filters by reconstruction, area opening, h-dome and h-basin 
• Distance Transforms including geodesic  
• Residues: gradient, contour, top-hat 
• Hit-Miss: skeletonization, skiz
• Watershed: gray-scale from markers. Based on gradient or similarity