[IPOL announce] new article: Automatic 1D Histogram Segmentation and Application to the Computation of Color Palettes

[announcements about the IPOL journal]

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.