Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Charytanowicz Małgorzata, Kulczycki Piotr, Łukasik Szymon
Dyscypliny:
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Wersja dokumentu:	Drukowana \| Elektroniczna
Arkusze wydawnicze:	0,6
Język:	angielski
Strony:	97 - 106
Web of Science® Times Cited:	1
Scopus® Cytowania:	0
Bazy:	Web of Science \| Scopus
Efekt badań statutowych	NIE
Materiał konferencyjny:	NIE
Publikacja OA:	NIE
Abstrakty:	angielski
	The images obtained by X-Ray or computed tomography (CT) may be contaminated with different kinds of noise or show lack of sharpness, too low or high intensity and poor contrast. Such image deficiencies can be induced by adverse physical conditions and by the transmission properties of imaging devices. A number of enhancement techniques in image processing may improve the quality of the image. These include: point arithmetic operations, smoothing and sharpening filters and histogram modifications. The choice of the technique, however, depends on the type of image deficiency. In this paper, the primary aim is to propose an efficient image enhancement method based on nonparametric estimation so as to enable medical images to have better contrast. To evaluate the method performance, X-Ray and CT images have been studied. Experimental results verify that applying this approach can engender good image enhancement performance when compared with classical techniques.

Image Enhancement with Applications in Biomedical Processing