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dc.contributor.authorMa Jun-
dc.contributor.authorTsviatkou, V. Y.-
dc.contributor.authorKonopelko, V. K.-
dc.contributor.authorЦветков, В. Ю.-
dc.contributor.authorКонопелько, В. К.-
dc.identifier.citationMa Jun. A new improved fast parallel skeletonize algorithm / Ma Jun, V. Yu. Tsviatkou, V. K. Konopelko // Кодирование и цифровая обработка сигналов в инфокоммуникациях: материалы международной научно-практической конференции, Минск, 4 апреля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. К. Конопелько, В. Ю. Цветков, Л. А. Шичко. – Минск, 2019. – С. 79 – 84.ru_RU
dc.description.abstractThe skeletonize of the binary image has crucial application in the field of target recognition. The thinning result of the Zhang's fast parallel thinning algorithm maintains the connection of the original image, has a good structural form and has no burs. However, Zhang's fast parallel thinning algorithm consists two subiterations in where the most of operations are similar, which cause the waste of the resources of the calculate. Besides, it can't ensure the single pixel width, which brings difficulties for post-processing. In this paper, authors make some improvement on the Zhang's fast thinning algorithm. Experimental results show that the use of improved algorithm can not only reduce the total number of the iteration but also ensure a single pixel width.ru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectZhang's fast parallel thinning algorithmru_RU
dc.subjectnumber of iterationsru_RU
dc.subjectsingle pixelru_RU
dc.titleA new improved fast parallel skeletonize algorithmru_RU
Appears in Collections:Кодирование и цифровая обработка сигналов в инфокоммуникациях (2019)

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