重叠图像中聚类的合并和插值算法

Q4 Mathematics

Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics Pub Date : 2021-01-20 DOI:10.31926/but.mif.2020.13.62.2.25

L. Ciupala, A. Deaconu, D. Spridon

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引用次数: 0

摘要

提出了一种考虑图像中识别对象的某些属性(平均强度、运动速度等)的图像重叠算法。该算法最大限度地减少了内存和时间复杂度，可用于各种应用，特别是在医学成像分析中。提出的算法背后的思想是曲面合并和插值。

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ALGORITHM FOR MERGING AND INTERPOLATING CLUSTERS IN OVERLAPPING IMAGES

An image overlapping algorithm, taking into account certain properties of objects identified in the images (average intensity, movement speed, etc) is proposed. The algorithm minimizes both memory and time complexity and it can be used in various applications, especially in medical imaging analysis. The idea behind the proposed algorithm is surface merging and interpolation.

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来源期刊

Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics Mathematics-Mathematics (all)

CiteScore

0.30

自引率

0.00%

发文量