Comparative investigations of similarity measure exploited in medical images preselection

• Autorzy: Wróbel K. , Porwik P.
• Języki publikacji: EN

Abstrakty

EN

Nowadays, the most significant impact of digital image processing in the area of applications are real–world problems. Many new technological trends in medicine and digital processing have been implemented. Several factors indicate such development. A major one is the perpetually declining cost of the computer equipment required. Both processing unit and capacity of storage devices continue to become less expensive year by year. Another factor is the increasing availability of equipment for digitising and displaying images. In modern image processing, images have to be compared each other because such approach allows us to automate of retrieval process. Computer image retrieving is today especially important in medical diagnostics [1,7] or in preliminary images selection [8,9]. Today, in the digital image processing are used techniques and methods which have well known mathematical backgrounds. It can be observed, that in the area of digital signal processing, the Hough and well known the Fourier transform are exploited very often. These transforms are frequently use in image retrieving and can be implemented as computer applications. In many cases the mentioned methods give promising results in images classification or preselection [1,2,4,5,11]. Special properties of such transforms can be used in statistical or comparative goals, especially when searched information has graphic form. Taking into account the mentioned applications, transforms as methods of preliminary medical images selection have been investigated. From this reason pictures, analysing in the paper, to medical images have been limited.

Słowa kluczowe

EN

similarity measure; medical image; Hough transformation; Fourier transformation

PL

podobieństwo pomiaru; obraz medyczny; transformacja Hougha; transformacja Fouriera

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 8
• Strony: II25--31
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Wróbel K.

• University of Silesia, Institute of Informatics, 41-200 Sosnowiec, ul. Będzińska 39, Poland

autor

Porwik P.

• University of Silesia, Institute of Informatics, 41-200 Sosnowiec, ul. Będzińska 39, Poland

Bibliografia

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• [2] CHMIELEWSKI L., Image registration with the Hough transform. In Proc. 13th Polish Conference on Biocybernetics and Biomedical Engineering KBIB 2003, pp. 830-835, Gdańsk, Poland, Sep 10-13, 2003.
• [3] CZEKANOWSKI J., Zarys metod statystycznych w zastosowaniu do antropologii, Prace Towarzystwa Naukowego Warszawskiego, 1913.
• [4] DUDA R.O., HART P.E., Use of Hough transformation to detect lines and curve in pictures. Comm. ACM 15, 11-15, 1972.
• [5] ILLINGWORTH J., KITTLER J., The adaptive Hough transform. IEEE Trans. Pattern Anal. Mach. Intell. 10, 690-698, 1987.
• [6] JAIN A. K., Fundamentals of digital image processing, Prentice Hall. International Editions, 1989.
• [7] MALINA W., Podstawy automatycznej klasyfikacji obrazów. Wydawnictwo Politechniki Gdańskiej, Gdańsk, 2002.
• [8] PORWIK P., WRÓBEL K., WIDUCH S., DOROZ R., The Method of Preliminary Medical Images Selection. Journal of Medical Informatics and Technologies vol.2/2001, ISSN 1642-6037, 2001.
• [9] L. G. SHAPIRO, G. C. STOCKMAN, Computer Vision, Prentice-Hall Inc., 2001.
• [10] TADEUSIEWICZ R., FLASIŃSKI M., Rozpoznawanie obrazów. Państwowe Wydawnictwo Naukowe, Warszawa, 1991.
• [11] WRÓBEL K., The Method of Parameterisation of Binary Image’s Contour with Usage of the Hough Transformation. The 6th International Scientific - Technical Conference: Process Control 2004. Kouty nad Desnou, Czech Republic, 2004.