Application of the Flower Pollination Algorithm in the Analysis of Micro-CT Scans

被引：3

作者：

Kowalski, Piotr A. ^{[1
,2
]}

Kaminski, Jakub ^{[1
]}

Lukasik, Szymon ^{[1
,2
]}

Swiebocka-Wiek, Joanna ^{[1
]}

Golunaka, Dominika ^{[1
]}

Tarasiuk, Jacek ^{[1
]}

Kulczycki, Piotr ^{[1
,2
]}

机构：

[1] Univ Sci & Technol, Fac Phys & Appl Comp Sci AGH, Al Mickiewicza 30, PL-30059 Krakow, Poland

[2] Polish Acad Sci, Syst Res Inst, Ul Newelska 6, PL-01447 Warsaw, Poland

来源：

TRENDS IN MATHEMATICS AND COMPUTATIONAL INTELLIGENCE | 2019年 / 796卷

关键词：

Computational intelligence; Flower pollination algorithm; Biologically inspired algorithm; Micro-CT; Binarization; Scans processing;

D O I：

10.1007/978-3-030-00485-9_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this article is to present research involving the employment of intelligent methods for image analysis, particularly, the binarization process. In this case, the Flower Pollination Algorithm was used to optimize the internal parameters of the Niblack binarization algorithm. As a criterion for the quality of the proposed solution, the morphological parameter called the 'bone volume' (equivalent to porosity) is taken into account. The overarching objective of this study is to model the structure of cancellous bone based on the analysis of images derived from Micro-CT Scans.

引用

页码：1 / 9

页数：9

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