13 January 2012 Robust segmentation of color image for wireless applications
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Abstract
Robust image partitioning technique with limited space-time requirement is crucial for real-time high-resolution mobile imaging applications. Simultaneous handling of color components is a stumbling block in segmentation of color image. This paper presents a strategy for segregating multi-dimensional complexity that resembles human visual perception. First-order regions are developed employing the distribution of base color (hue) creating meaningful partitions of the image. Each region being self-contained can be transmitted independently. Further segmentations on each hue region can be done concurrently with respective local distributions of saturation (S). Finally, each of the subregions can undergo a third-order segmentation based on intensity (I) distribution at local level. Experiments indicate that the segregation process improves throughput and quality of segmentation. Self-contained partitions are convenient for multi-host image sharing as well as progressive reconstruction of images in the receiver.
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B. Bhattacharyya, B. Mandal, T. Mukhopadhyay, "Robust segmentation of color image for wireless applications", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490R (13 January 2012); doi: 10.1117/12.920961; https://doi.org/10.1117/12.920961
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