Morphological Color Images Processing Using Distance-Based and Lexicographic Order Operators
Autor: | Paulo Gonzalez, Victor Cabezas, Marco Mora, Fernando Cordova, Javier Vidal |
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Rok vydání: | 2010 |
Předmět: |
Color histogram
Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image processing Mathematical morphology Lexicographical order Grayscale Euclidean distance Set (abstract data type) Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | SCCC |
DOI: | 10.1109/sccc.2010.26 |
Popis: | This work presents an extension of morphological operators for color images. The morphological operations require that the set items to be analyzed are completely ordered, thus it is necessary to find a maximum and a minimum values in order to obtain such an ordering. In this paper a new lexicographical and distance criteria for the pixels ordering in color images are proposed. These criteria have allowed color images morphological operations to be defined, which are consistent with the properties for grayscale images morphological operations. |
Databáze: | OpenAIRE |
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