A Novel Method for Compression of Pressure Ulcer Image using Region of Interest Method
DOI:
https://doi.org/10.51983/ajcst-2017.6.1.1777Keywords:
medical image compression, Hybrid approach, segmentation algorithm, ROIAbstract
Other than lossy and lossless compression methods, the third option in pressure ulcer image compression could be the hybrid approach. Hybrid approach combines both lossy and lossless compression scheme. Here diagnostically important regions (Region of Interests) are lossless coded and the non regions of interests are lossy coded. Such hybrid approaches are referred as regionally lossless coding. Many researchers have proposed various hybrid medical mage compression techniques. In these techniques, region of interests are first segmented and a suitable coding is done for ROI and non ROI. By doing so, high compression ratios can be obtained and quality of diagnostically important regions is maintained high, as desired by clinicians. These hybrid approaches differ in accordance with the egmentation goal, segmentation approach they follow and coding techniques. There is no segmentation algorithm that is suitable for all pressure ulcer images. Most of the segmentation algorithms are for specific kind of pressure ulcer images. In this paper we propose a segmentation algorithm for extracting ROI from pressure ulcer images with hemorrhage, to supplement it to compression algorithm.
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