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基于多特征阈值融合的手指静脉识别算法 被引量:7
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作者 蓝师伟 沈雷 《杭州电子科技大学学报(自然科学版)》 2018年第5期24-28,84,共6页
大部分手指静脉识别算法使用单个特征识别,识别的基本是静脉区域特征。研究发现背景区域对静脉识别也有辅助作用,为此,提出一种融合静脉曲率灰度特征、曲率细线特征及背景曲率灰度特征的阈值识别算法。用高斯模板对图像进行曲率特征提... 大部分手指静脉识别算法使用单个特征识别,识别的基本是静脉区域特征。研究发现背景区域对静脉识别也有辅助作用,为此,提出一种融合静脉曲率灰度特征、曲率细线特征及背景曲率灰度特征的阈值识别算法。用高斯模板对图像进行曲率特征提取和分解,得到背景曲率灰度特征和静脉曲率灰度特征,再通过提取曲率特征得到曲率细线特征,并用阈值融合算法将3种静脉图像特征融合起来进行识别。实验表明,所提算法的性能优于基于方向滤波提取细线特征的算法和基于Hessian矩阵提取细线特征的算法。训练样本中,认假率为10-6时,其拒真率最低降至9.13%,性能显著提高。 展开更多
关键词 指静脉识别 曲率 细线特征 阈值融合算法
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Transcriptome analysis of three cotton pests reveals features of gene expressions in the mesophyll feeder Apolygus lucorum 被引量:4
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作者 Dianyang Chen Fangyan Chen +2 位作者 Chunyu Chen Xiaoya Chen Yingbo Mao 《Science China(Life Sciences)》 SCIE CAS CSCD 2017年第8期826-838,共13页
The green mirid bug Apolygus lucorum is an agricultural pest that is known to cause damage to more than 150 plant species. Here, we report the transcriptomes ofA. lucorum at three different developmental stages (the ... The green mirid bug Apolygus lucorum is an agricultural pest that is known to cause damage to more than 150 plant species. Here, we report the transcriptomes ofA. lucorum at three different developmental stages (the second and fifth instar nymphs and adults). A total of 98,236 unigenes with an average length of 1,335nt was obtained, of which 50,640 were annotated, including those encoding digestive enzymes and cytochrome P450s. Comparisons with cotton bollworm and cotton aphid transcriptomes revealed distinct features ofA. lucorum as a mesophyll feeder. The gene expression dynamics varied during development from young nymphs to adults. The high-quality transcriptome data and the gene expression dynamics reported here provide valuable data for a more comprehensive understanding of the physiology and development of mirid bugs, and for mining targets for their control. 展开更多
关键词 Apolygus lucorum TRANSCRIPTOME digestion enzymes developmental stage
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