Temat: image recognition - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Lip traces recognition based on lines pattern
Autorzy:: Smacki, Ł.
Powiązania:: https://bibliotekanauki.pl/articles/333930.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: ślad warg
wydruk wargi
cheiloskopia
identyfikacja kryminalna
rejestracja obrazu
lip trace
lip print
heiloscopy
criminal identification
image recognition
Opis:: This paper presents a method for automatic lip traces recognition based on lip furrows arrangement. First, lip trace is scanned and subjected to image processing and feature extraction. Then, identification is performed by comparing lip trace characteristics with a collection of comparative lip prints characteristics stored in a database. The proposed solution gives a satisfactory level of identification accuracy. After further improvement, it can be used as part of a system performing analysis of traces recovered from crime scenes.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 15; 53-60
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The dedicated decision support system in recognition of some uncertain disease entities
Autorzy:: Porwik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333041.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznawanie obrazu
klasyfikacja danych
sieci neuronowe
systemy wspomagania decyzji
image recognition
data classification
neural network
decision support systems
Opis:: This work presents the principles of image recognition, where quality-based methods are applied. The neural networks and additional software have been proposed. This goal was achieved by using non-parametric recognition algorithms. In this paper the two-state hybrid classification method has been proposed, where artificial intelligence algorithm is included. In recognition process, the learning method, selection and optimization of diagnostic parameters have been introduced. The integrated part of the classifier structure is voting mechanism, which indicates incorrect states of the system – for example the unrecognized images. Effectiveness of the system has been shown by means of examples, where ambiguous data have been incorporated – it is very often a practice of medical diagnostics.
Źródło:: Journal of Medical Informatics & Technologies; 2009, 13; 97-100
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Detection of human eye components on the basis of multispectral imaging
Autorzy:: Michalak, M.
Nurzyńska, K.
Świtoński, A.
Powiązania:: https://bibliotekanauki.pl/articles/333415.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznawanie wzorców
analiza wielospektralna
przetwarzanie obrazów
segmentacja obrazu
pattern recognition
multispectral analysis
image processing
image segmentation
Opis:: In this paper the methods for selecting of the most important parts of the human eyes are described. On the basis of the real 21 channel multispectral images the model of finding the lens and the spot are defined. These methods are based on the most popular algorithms of image processing. The approach to veins detection is still undefined but in the article the most important channels are pointed out and the channel difference between eyelash and the veins is also mentioned.
Źródło:: Journal of Medical Informatics & Technologies; 2012, 19; 41-47
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: The pixel alignment based algorithm for continuous orientation field estimation
Autorzy:: Więcław, Ł.
Porwik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333928.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznawanie odcisków palców
obraz kierunkowy
orientacja pola
fingerprint recognition
directional image
orientation field
Opis:: This paper presents a new estimation method of fingerprint orientation field. An accurate estimation of fingerprint orientation fields is an essential step in automatic fingerprint recognition systems (AFIS). Most popular, gradient-based method is very sensitive to noise (image quality). Proposed algorithm is a modification of, more resistant to noise, mask-based method, which provides orientation limited to discrete values. This modification is based on aggregation of pixel values differentiation and was used to more precise estimation of magnitude of orientation vectors. This approach allows to obtain a continuous values of orientation field still maintaining robust to noise.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 15; 47-52
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Automatic detection and counting of platelets in microscopic image
Autorzy:: Burduk, R.
Krawczyk, B.
Powiązania:: https://bibliotekanauki.pl/articles/333065.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznawanie wzorców
nauczanie maszynowe
analiza obrazu
pattern recognition
bioinformatic
machine learning
image analysis
platelet
Opis:: In this paper we present a machine learning-based approach for detecting platelet cells in microscopic smear images. Counting how many platelets appeared in each smear image is one of the basic tasks done in many laboratories. In many cases this is still done by a human — laboratory technician. Due to very small size and often great quantity of those cells, precise estimating of the number of platelets is not a trivial task. As in all man-dependent problems the whole process is very sensitive to errors, time-consuming and its accuracy is limited by human perception. We propose alternative, fully automatic solution that is free of those drawbacks. Our idea is based on the combination of techniques driven from two fields of modern computer science: the image analysis and pattern recognition ⁄ machine learning. It not only reduces the error rate, but, what is more important, also decreases the time needed for each smear image analysis. The obtained results are very satisfying and our solution is more precise than estimation based on human perception. This will improve the quality of laboratory work and allow to save time that can be spent on other important tasks.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 16; 173-178
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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