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一种红外图像电厂冷却塔目标识别方法
史泽林; 向伟; 刘云鹏; 蓝德岩; 田政; 王喆鑫
Department光电信息技术研究室
Rights Holder中国科学院沈阳自动化研究所
Patent Agent21002 沈阳科苑专利商标代理有限公司
Country中国
Subtype发明
Status公开
Abstract本发明涉及一种红外图像电厂冷却塔目标识别方法首先训练用于电厂冷却塔识别的Adaboost分类器,然后识别电厂冷却塔目标。本发明提出基于梯度的候选目标提取方法和基于haar‑like特征表达和Adaboost分类器目标识别的红外图像电厂冷却塔目标识别方法,可以在红外图像中可靠识别出电厂冷却塔目标,具有较高的召回率和较低的虚警率。与模板匹配算法相比,该方法不要基准图的参与,降低了对数据保障的要求,具有重要的应用价值。
PCT Attributes
Application Date2018-12-20
2020-06-30
Application NumberCN201811562527.8
Open (Notice) NumberCN111353486A
Language中文
Contribution Rank1
Document Type专利
Identifierhttp://ir.sia.cn/handle/173321/27258
Collection光电信息技术研究室
Affiliation中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
史泽林,向伟,刘云鹏,等. 一种红外图像电厂冷却塔目标识别方法[P]. 2020-06-30.
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