Annotation of natural scenes using adaptive color segmentaion

Eli S. Saber; A. Murat Tekalp; Reiner Eschbach; Keith T. Knox

doi:10.1117/12.205495

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23 March 1995 Annotation of natural scenes using adaptive color segmentaion

Eli S. Saber, A. Murat Tekalp, Reiner Eschbach, Keith T. Knox

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Proceedings Volume 2421, Image and Video Processing III; (1995) https://doi.org/10.1117/12.205495
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

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.

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Eli S. Saber, A. Murat Tekalp, Reiner Eschbach, and Keith T. Knox "Annotation of natural scenes using adaptive color segmentaion", Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); https://doi.org/10.1117/12.205495

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