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A Color Morphology based on Pareto-dominance Relation and Hypervolume Measure

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Challenges in designing non-linear color and multi-spectral image filters can be addressed by known approaches from the field of multi-objective optimization. In particular Pareto-set theory is considered to be feasible. In this paper we explore the impact of so-called indicator functions, which are used to represent all points on a Pareto front. Thereby, we focus on the most common indicator function that is the Hypervolume. It is used to derive an alternative approach to color morphology. We present the conceptional base for the morphological operators, a study of their properties and show their impact in real-world applications, i.e. secure document analysis.
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Document Type: Research Article

Publication date: 01 January 2008

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  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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