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25 May 1989 Context-Dependent Enhancements For Radiological Images
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Many techniques have been proposed to enhance radiographic images and each of them may be "optimal" depending upon the circumstances. However, the problem confronting the radiologist or the physician is which enhancement to use and how to select the parameters when he wants a specified feature to be emphasized. At the University of Ottawa, our research work is oriented towards automatic context-dependent enhancements. Our approach attempts to match the three phases involved in viewing a radiograph: getting a global impression, analysing the objects and the local features and focussing on the image perturbations. In this paper, we report on enhancements to support the two first phases in the case of chest radiographs as well as on the applicability of grey level reversal transformations.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Plessis, M. Goldberg, R. Dillon, J. Tombaugh, J. Robertson, G. Belanger, and N. Hickey "Context-Dependent Enhancements For Radiological Images", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989);

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