Morphological slope filters

Ivan R. Terol-Villalobos

doi:10.1117/12.222725

3 October 1995 Morphological slope filters

Ivan R. Terol-Villalobos

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222725
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

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.

Citation Download Citation

Ivan R. Terol-Villalobos "Morphological slope filters", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222725

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