An infrared image segmentation algorithm based on spatial correlative information

Keyong Wang*, Chengtian Song, Jiahao Deng

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Image segmentation is an important technique for image processing and computer vision. The principles of 1-D Otsu's algorithm and thresholding through index of fuzziness are described. Since the infrared images of tank have low object-background contrasts and blurred boundaries in the complex background condition, an adaptive algorithm for image thresholding through index of fuzziness, which is combined with the spatial correlative information, is proposed. The new method makes full use of the spatial correlation of pixels, so that it can extract the detail of the image from the complex background effectively, and improve the accuracy of the segmentation. The results of experiments prove that the presented algorithm has better performance and better robustness against noise.

源语言英语
主期刊名Frontiers of Manufacturing and Design Science
3274-3278
页数5
DOI
出版状态已出版 - 2011
活动2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010 - Chongqing, 中国
期限: 11 12月 201012 12月 2010

出版系列

姓名Applied Mechanics and Materials
44-47
ISSN(印刷版)1660-9336
ISSN(电子版)1662-7482

会议

会议2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010
国家/地区中国
Chongqing
时期11/12/1012/12/10

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引用此

Wang, K., Song, C., & Deng, J. (2011). An infrared image segmentation algorithm based on spatial correlative information. 在 Frontiers of Manufacturing and Design Science (页码 3274-3278). (Applied Mechanics and Materials; 卷 44-47). https://doi.org/10.4028/www.scientific.net/AMM.44-47.3274