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EN
In this paper we present a novel semi-automatic method for image segmentation and matting that utilizes the newly proposed generalized distance transform to determine the hybrid distance between the foreground and background regions within the image. This distance values are then used to estimate the alpha matting coefficient needed for composing new image by blending the foreground objects into a new background image scene. The effectiveness of the proposed algorithm allows the user to work interactively and to obtain the desired results promptly after marking the regions by scribbling the image. In the paper we show, that the proposed method yields satisfactory results for gray scale and colour images.
2
Content available Medical image colorization
EN
Colorization is a term used to describe a computerized process for adding colour to black and white pictures, movies or TV programs. This process involves replacing a scalar value that represents pixels' intensity or luminance by a vector in a three dimensional colour space with luminance, saturation and hue or simply RGB. The colorization process is also used to convert the grey scale to colour on medical images. Colour increases the visual appeal of an image and it also makes a medical visualization more attractive. Changes in colour are more easily perceived then changes in shades of grey and therefore this procedure makes the interpretation and understanding of the image easier. Since the mapping between intensity and colour has no inherently "correct" solution, human interaction and/or external information usually plays a large role. In this paper we present a novel colorization method that takes advantage of the morphological distance transformation and image structures to automatically propagate the colour scribbled by the user within the grey scale image. The effectiveness of the algorithm allows the user to work interactively and obtain the desired results promptly after providing the colour. In the paper we show that the proposed method allows for high quality colorization results for still images without precise segmentation.
PL
W pracy przedstawiono dwa urządzenia wirtualne stworzone przy pomocy graficznego języka programowania G, wykorzystywane do nauczania wybranych zagadnień z fizyki w laboratorium studenckim. Pierwsze z nich służy do wyznaczania temperatury Curie w ferromagnetykach, drugim jest analizator rozkładów statystycznych. W pracy omówiono właściwości stanowisk pomiarowych wyposażonych w urządzenia wirtualne i zaprezentowano możliwości, jakie stwarzają graficzne języki programowania.
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