Autor: Lisowska, W. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The universal quality index for medical images
Autorzy:: Lisowska, A.
Kotarski, W.
Powiązania:: https://bibliotekanauki.pl/articles/332954.pdf
Data publikacji:: 2002
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wskaźnik jakości
obrazy medyczne
quality index
human visual system
medical images
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2002, 3; MI199-206
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Automatic perception of significant image features based on psychology of vision
Autorzy:: Lisowska, A.
Kotarski, W.
Powiązania:: https://bibliotekanauki.pl/articles/333672.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wewnętrzna wymiarowość
automatic perception
intrinsic dimensionality
Opis:: Recent investigations in neuropsychology and psychology of vision have proven that human eye does not get all the information from the surrounding world in the same degree. There are three classes of signals received by human brain. The more important one is the information about features such as corners, junctions, ends of lines, etc. Straight lines and edges are the second in the hierarchy of importance. And the last ones are textures they support the less important information about objects. Basing on these results, in image processing, theory of intrinsic dimensionality and related to it theory of feature extractors have been established. In the paper a survey of approaches that are used for construction of feature extractors based on intrinsic dimensionality have been presented. To carry out experiments the approach based on geometrical wavelets has been chosen and the software prepared by the first author has been used. Experiments presented in the paper have been performed on relatively complex images that had been faces' images. They confirmed that the information about the basic elements of faces (eyes, nose, lips, etc.) might be properly extracted from the face with the usage of the feature extractor. Moreover, the experiments have shown that in this way one could obtain the smallest possible amount of information, which was enough that human eyes yet have seen the face. Very promising results of experiments suggest that it is possible to use the proposed approach to face identification and recognition. Also some possible medical applications have been suggested.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; MIP31-40
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Semi-automatic human emotions recognition method based on I2D features
Autorzy:: Lisowska, A.
Kotarski, W.
Kownacki, A.
Powiązania:: https://bibliotekanauki.pl/articles/333730.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: podstawowe emocje
rozpoznanie
wewnętrzna wymiarowość
falki geometryczne
basic emotions
recognition
intrinsic dimensionality
geometrical wavelets
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 215-222
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Automatic human face recognition method based on geometrical face features
Autorzy:: Makieła, M.
Kotarski, W.
Lisowska, A.
Powiązania:: https://bibliotekanauki.pl/articles/333239.pdf
Data publikacji:: 2003
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznanie twarzy
automatyczna identyfikacja
face recognition
face's geometrical measures
automatic identification
Opis:: There are many ways to describe and recognize the human face. The paper shows one of them - the feature based method. It also considers usefulness of the face geometrical measurements in recognition and also the geometrical dependence on the features. The paper treats on the feature points detection and takes into consideration six of them, which are: two eyes, two eyebrows, nose and lips. It shows a detailed algorithm of the proposed method and describes its advantages and disadvantages. It also describes a filtering, feature points extraction and gives formulas for calculation of a face likeness coordinates. At the very end it concludes with experiments and examples of the proposed method.
Źródło:: Journal of Medical Informatics & Technologies; 2003, 5; MI47-56
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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