Robust segmentation of color image for wireless applications

B. Bhattacharyya; B. Mandal; T. Mukhopadhyay

doi:10.1117/12.920961

13 January 2012 Robust segmentation of color image for wireless applications

B. Bhattacharyya, B. Mandal, T. Mukhopadhyay

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490R (2012) https://doi.org/10.1117/12.920961
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

B. Bhattacharyya, B. Mandal, and 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); https://doi.org/10.1117/12.920961

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