Annotation of natural scenes using adaptive color segmentaion
Eli S. Saber, Ahmet Murat Tekalp, Reiner Eschbach, Keith T. Knox · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
We present an approach to the annotation of natural scene images that used a simple color segmenter to indicate the presence of skin, sky and grass in an image. The results of the color based segmentation are then used to determine higher level description of images as 'People' or 'Outdoors'. The images are analyzed in a luminance-chrominance color space in order to reduce the influence of the scene illumination on the segmentation. The distribution of the chrominance components of the pixels belonging to each object class is modeled as a Gaussian PDF, allowing an image-adaptive setting of the object-class thresholds.