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A survey of subpixel edge detection methods for images of heat-emitting metal specimens

Anna Fabijańska — 2012

International Journal of Applied Mathematics and Computer Science

In this paper the problem of accurate edge detection in images of heat-emitting specimens of metals is discussed. The images are provided by the computerized system for high temperature measurements of surface properties of metals and alloys. Subpixel edge detection is applied in the system considered in order to improve the accuracy of surface tension determination. A reconstructive method for subpixel edge detection is introduced. The method uses a Gaussian function in order to reconstruct the...

Assessment of hydrocephalus in children based on digital image processing and analysis

Anna Fabijańska;  Tomasz Węgliński;  Krzysztof Zakrzewski;  Emilia Nowosławska — 2014

International Journal of Applied Mathematics and Computer Science

Hydrocephalus is a pathological condition of the central nervous system which often affects neonates and young children. It manifests itself as an abnormal accumulation of cerebrospinal fluid within the ventricular system of the brain with its subsequent progression. One of the most important diagnostic methods of identifying hydrocephalus is Computer Tomography (CT). The enlarged ventricular system is clearly visible on CT scans. However, the assessment of the disease progress usually relies on...

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