Comparison of standard image edge detection techniques and of method based on wavelet transform

Kobylin, O.; Lyashenko, V.

Публікація:
Comparison of standard image edge detection techniques and of method based on wavelet transform

dc.contributor.author	Kobylin, O.
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2020-05-18T12:46:13Z
dc.date.available	2020-05-18T12:46:13Z
dc.date.issued	2014
dc.description.abstract	Image edge detection is in the forefront of image processing. There are lots of various edge detection methods. However the choice of a certain image edge detection technique still remains topical and this issue is constantly in focus for the researchers. This owes to both the specifics of implementing certain image edge detection technique and to the specifics of obtaining and presenting images for further processing. Based on this, in this paper, the comparison of standard image edge detection techniques (Canny, Prewitt, Robert, Sobel) and methods based on wavelet transform are studied. Quantitative measures for evaluating edge detection quality and simple visual comparison of the obtained edge maps of the original image are used for comparison. The advantages and disadvantages of these edge detection techniques have been shown.	uk_UA
dc.identifier.citation	Kobylin O., Lyashenko V. Comparison of standard image edge detection techniques and of method based on wavelet transform // International Journal of Advanced Research. – 2014. – Vol. 2(8). – P. 572-580.	uk_UA
dc.identifier.issn	2320-5407
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11740
dc.language.iso	en	uk_UA
dc.publisher	IJAR	uk_UA
dc.subject	image	uk_UA
dc.subject	wavelet transform	uk_UA
dc.title	Comparison of standard image edge detection techniques and of method based on wavelet transform	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication