Color Image Segmentation by Multilevel Thresholding Based on Harmony Search Algorithm

被引：2
|
作者：
Tuba, Viktor [1 ]
Beko, Marko [2 ]
Tuba, Milan [3 ]
机构：
[1] John Naisbitt Univ, Grad Sch Comp Sci, Belgrade, Serbia
[2] Univ Lusofona Humanidades & Tecnol, Dept Comp Engn, Lisbon, Portugal
[3] State Univ Novi Pazar, Dept Tech Sci, Novi Pazar, Serbia
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2017 | 2017年 / 10585卷
关键词：
Harmony search algorithm; Metaheuristic algorithms; Image segmentation; Otsu's method; Multilevel thresholding; Color images;
D O I：
10.1007/978-3-319-68935-7_62
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the important problems and active research topics in digital image precessing is image segmentation where thresholding is a simple and effective technique for this task. Multilevel thresholding is computationally complex task so different metaheuristics have been used to solve it. In this paper we propose harmony search algorithm for finding optimal threshold values in color images by Otsu's method. We tested our proposed algorithm on six standard benchmark images and compared the results with other approach from literature. Our proposed method outperformed other approach considering all performance metrics.
引用
收藏
页码：571 / 579
页数：9
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