Improving Graph-Based Image Segmentation Using Automatic Programming

被引：3
|
作者：
Magnusson, Lars Vidar [1 ]
Olsson, Roland [1 ]
机构：
[1] Ostfold Univ Coll, IT Dept, Halden, Norway
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTATION | 2014年 / 8602卷
关键词：
Image segmentation; Graph algorithm; Evolutionary computation; Automatic programming;
D O I：
10.1007/978-3-662-45523-4_38
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates how Felzenszwalb's and Huttenlocher's graph-based segmentation algorithm can be improved by automatic programming. We show that computers running Automatic Design of Algorithms Through Evolution (ADATE), our system for automatic programming, have induced a new graph-based algorithm that is 12 percent more accurate than the original without affecting the runtime efficiency. The result shows that ADATE is capable of improving an effective image segmentation algorithm and suggests that the system can be used to improve image analysis algorithms in general.
引用
收藏
页码：464 / 475
页数：12
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