烧结截面火焰图像的多核增强显著性检测

Q3 Computer Science
Fubin Wang, Hefei Liu, Rui Wang, Jianghong He, Chenggen Wu
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引用次数: 0

摘要

烧结段的火焰图像通常会受到烟雾和光晕的干扰,从而导致图像中的火焰边缘和材料层模糊。为了解决传统的基于二维图像特征的显著性检测方法难以有效获取的问题,将实际显著性的时间作为评价指标。实验结果表明,本文提出的方法优于其他5种方法,且各阶段的检测性能逐步增强,为提高烧结火焰截面图像的有效信息提取奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Kernel Boosting Saliency Detection of Flame Image of Sintering Section
: The flame image of the sintering section is usually interfered by smoke and halo, which would cause the blurring of flame edge and material layer in the image. In order to solve the problem that tradi-tional saliency detection method based on two-dimensional image features is difficult to effectively obtain the actual saliency of the time are taken as evaluation indexes. The experimental results show that the proposed method is superior to the other 5 methods, and the detection performance of each stage is gradually enhanced, which lays a foun-dation for improving the effective information extraction of sintering flame section image.
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来源期刊
计算机辅助设计与图形学学报
计算机辅助设计与图形学学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.20
自引率
0.00%
发文量
6833
期刊介绍:
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