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2
72%
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2005
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tom Vol. 9
209--213
EN
In this note we present a very simple database searching method for footprints of the desired flatfoot abnormality. The method is based on the new shape-measure introduced in [7]. The used measure describes flatfoot abnormalities very well, do not use reference points determined manually, so is it easily implemented for fully automatic footprints comparison task. Experiments carried out on a number of plantograms, with the help of the software prepared by the first author, approved good searching results of the described method.
3
Content available The universal quality index for medical images
72%
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|
tom Vol. 3
MI199--206
EN
The aim of this paper is to propose a new quality index which measures the distance between a reference (source) image and its corrupted copy in the way as Human Visual System (HVS) does. The new quality index called the Mean Weighted Quality Index (MW) is defined with the help of the well known easy calculated indexes. The experiments performed on a number of medical images confirmed usefulness of the new index.
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2004
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tom Vol. 8
II15--20
EN
In this note we present a method for recognition of flatfoot abnormality with the help of some new shape-measure describing numerically this abnormality efficient enough. The proposed measure can be easily implemented and used for automatic flatfoot level diagnosis. Experiments carried out on a number of the plantograms, analysed using the computer programme prepared by first of the authors, proved the usefulness of this new approach.
PL
Porównano jednostkowy koszt zmienny dostawy ciepła w systemie ciepłowniczym w okresie lata przy regulacji ilościowej i jakościowej. Z przprowadzonych obliczeń wynika, że wyrażenie niższy jest koszt regulacji ilościowej.
EN
In the paper we present quite new approach to the problem of human emotion recognition with use of face images. We assume that basic emotions such as anger, disgust, fear, happiness, sadness, surprise are expressed by face mimic. Face images with the well defined emotions may be performed using the method based on geometrical wavelets (beamlets) in order to extract intrinsically two dimensional features, the most important ones from the Human Visual System point of view. Such an approach can be successfully applied in extraction process of the most important features that are responsible for recognition of basic elements of face (eyes, nose, lips, etc.). The listed elements of face have a little different location that depends on emotion expressed. It has been proved experimentally that it is possible using very small amount of information extracted from a face image, by the so-called beamlet extractor, to recognize emotion with high accuracy. Very promising results of experiments suggest that the method should be further investigated and improved.
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tom Vol. 3
MI207--212
EN
In the paper we present some results concerning application of simple shape parameters that are successfully used to distinguish between normal and pathological blood cells. All descriptors are based on shape area and its perimeter. We use five parameters that are automatically calculated for objects pointed out in the analyzed image with the help of our software. The experiments performed on the same set of tested images as in [3] let us draw the same conclusions as those reported in [3] where fractal analysis to shape has been used.
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