Spatial-color mode detection in UV pairwise projection of the CIE LUV color space
Halima Remmach, Raja Touahni, Abderrahmane Sbihi · 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) · 2020
In this work, we present a color image segmentation algorithm considering pairwise color projection. Our approach is based on mode detection of the 2-D histogram. The pairwise projection is chosen by considering the most relevant color components to represent the chromatic information. For this purpose we consider a luminance-chrominance space where the chromatic information is presented by two ones components and other one component presents the achromatic information (called luminance). In this work, we consider the CIE LUV color space which is more even in distribution and more accordant with humans perceive color. The modes detection process consists in the first step of partitioning the 2-D histogram in the UV chromaticity plane using the watershed transform, followed by a mode merging algorithm taking into account both the pixel color distribution in the pairwise color projection and their spatial arrangement in the image. We show on various images that the expected modes are correctly identified.