Color morphological operators using conditional and reduced ordering

Arthur Robert Weeks; Lloyd J. Sartor

doi:10.1117/12.365848

18 October 1999 Color morphological operators using conditional and reduced ordering

Arthur Robert Weeks, Lloyd J. Sartor

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365848
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Morphological image processing has been widely used to process binary and grayscale images, with morphological techniques being applied to noise reduction, image enhancement, and feature detection. Relying on an ordering of the data, morphology modifies the geometrical aspects of an image. Extending morphological operators to color image processing has been problematic because it is not easy to define geometry of a vector-valued function and ordering of vectors is not straightforward. We describe and demonstrate color morphological operators based on a combination of reduced- ordering and conditional-ordering of the underlying data.

Citation Download Citation

Arthur Robert Weeks and Lloyd J. Sartor "Color morphological operators using conditional and reduced ordering", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365848

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