A new article is available in IPOL: http://www.ipol.im/pub/art/2021/344/
Jose-Luis Lisani, and Ana Belén Petro,
Automatic 1D Histogram Segmentation and Application to the Computation
of Color Palettes,
Image Processing On Line, 11 (2021), pp. 76–104.
https://doi.org/10.5201/ipol.2021.344
Abstract
This article presents an implementation of the FTC (Fine-to-Coarse)
algorithm for histogram segmentation, presented by Delon et al. in 2007.
This algorithm uses a non-parametric a contrario approach to segment a
1D histogram into its meaningful modes. We describe also how the method
may be applied to the hue, saturation and intensity histograms of color
images in order to automatically extract their more representative
colors, the so-called color palette. The algorithm for color palette
extraction described in this paper is based on the one first published
in 2007 by Delon et al., with an improvement that affects low-saturated
colors. Several results illustrate the effectiveness of the algorithm.
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contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
