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Thermography captures the temperature distribution of the human skin and is employed in various medical applications. Techniques for automaticaly retrieving medical images based on their content have shown to be useful and are highly sought after. In this paper we show that efficient and effective content-based retrieval of medical thermograms can be performed directly in the compressed domain of...
In recent years there has been a resurgence of interest in the application of infrared thermal imaging in medicine. Yet fairly little effort has been spent towards standardisation of the field and a common communication and exchange format for thermal images. Most other medical areas where digital imaging is employed have subscribed to DICOM (Digital Imaging and COmmunication in Medicine) as a common...
Thermography captures the temperature distribution of the human skin and is employed in various medical applications. Often it is useful to cross-reference the resulting thermograms with visual images of the patient, either to see which part of the anatomy is affected by a certain disease or to judge the efficacy of the treatment. An attractive approach to provide this information is to overlay the...
We introduce a method for visualising and navigating through a collection of medical infrared images. Multidimensional scaling is used to provide an overall picture of a given image database by projecting all images on a plane and arranging them so that images that are visually similar are placed close to each other. Navigation through the image set can then be performed by zooming into an area of...
Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS, JPEG2000, PNG, and CALIC were tested on an image dataset of 380+ thermal images. The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed
This paper presents a new way to calculate the aerodynamic roughness using the surface geometric roughness retrieved from SAR (Synthetic Aperture Radar) and TM thermal infrared image data. On the one hand, the SPM (Small Perturbation Model) was used as a theoretical SAR backscattering model to describe the relationship between the SAR backscattering coefficient and the surface geometric roughness...
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