Pattern spectrum morphology for texture discrimination and object recognition

Bonita G. Lee; Victor T. Tom

doi:10.1117/12.25137

1 February 1991 Pattern spectrum morphology for texture discrimination and object recognition

Bonita G. Lee, Victor T. Tom

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25137
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

The pattern spectrum describes the shape and size of structures in an n-dimensional signal. Measurement of the pattern spectrum is based on morphological operations which use a variety of structuring elements to filter a signal at multiple spatial scales. This paper reports on the use of pattern spectra in the grayscale domain for classifying different textures and in the binary domain for object recognition. The advantage of morphological image processing is that it is based on highly parallel primitive operations which are amenable to large-scale implementation in real-time signal processing hardware.

Citation Download Citation

Bonita G. Lee and Victor T. Tom "Pattern spectrum morphology for texture discrimination and object recognition", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25137

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