Perceptually-tuned multiscale color-texture segmentation

We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
• Keywords: ICIP 2004, Image Processing, Multiple Texture Scales, Multiscale Extension, Multiscale Image Segmentation, Multiscale Texture Features