Morphological image filters play a fundamental role in image segmentation techniques. In mathematical morphology, the geodesic transformation (used to build reconstruction transformations) and morphological gradients are the bases to apply the watershed-plus- markers approach, which is the most commonly used technique to segment an image. Here, we propose new filters, based on the notion of morphological gradients and the geodesic transformation. These new filters have interesting properties and give essential contrast on the images, but they are not increasing transformations. Using these filters, we can modify the minima (maxima) of images, to obtain a good segmentation when the traditional transformation, the watershed, is applied.

Date Published: 3 October 1995
PDF: 11 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222725

Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)