虹膜特征与其他生物特征相比具有独特优势,因其可以为加密算法生成足够长的密钥。虹膜特征提取是虹膜识别过程中的关键问题。针对密钥安全性和计算效率两大问题,提出了一种新颖的基于保守超混沌系统的虹膜特征提取方法,并结合局部二进...虹膜特征与其他生物特征相比具有独特优势,因其可以为加密算法生成足够长的密钥。虹膜特征提取是虹膜识别过程中的关键问题。针对密钥安全性和计算效率两大问题,提出了一种新颖的基于保守超混沌系统的虹膜特征提取方法,并结合局部二进制模式(Local Binary Pattern,LBP)和高斯函数差分(Difference of Gaussian,DOG)技术。首先,选择五维保守超混沌系统,验证其保守性和超混沌性质;其次,根据375位虹膜特征码和上述系统,产生特征矩阵,并对该矩阵进行图像增强处理;最后,通过提取DOG极值点和LBP特征,并根据提出的特征融合规则生成128位密钥。实验表明,生成的密钥可以通过美国国家标准与技术研究院(National Institute of Standards and Technology,NIST)随机性测试,且对虹膜特征码极其敏感。展开更多
针对局部二值模式(LBP)及局部图结构(LGS)方法因非均衡的提取方式导致特征表达能力不强,以及单纯提取局部特征存在对人脸信息描述不全面的局限性,提出基于均衡局部模式的DOG多尺度融合金字塔人脸识别算法。首先针对LBP、LGS的不足,利用...针对局部二值模式(LBP)及局部图结构(LGS)方法因非均衡的提取方式导致特征表达能力不强,以及单纯提取局部特征存在对人脸信息描述不全面的局限性,提出基于均衡局部模式的DOG多尺度融合金字塔人脸识别算法。首先针对LBP、LGS的不足,利用双圆交叉采样和以局部宏观信息为参考的自适应阈值、中心对称的采样图结构实现均衡优化,提出可变参的ECLBP和FLGS方法,合称为均衡局部模式,以增强对关键局部信息的利用;然后将利用高斯核及图像差分生成的DOG金字塔与均衡局部模式方法融合,以多尺度特征图在丰富样本信息的同时实现大尺度全局轮廓和小尺度局部细节的融合,进一步捕捉类间及类内差异特征;最后加权级联所有特征图各子块的统计直方图,得到全面准确的特征向量,采用最近邻分类器匹配,通过特征图、直方图的主客观对比,从理论上验证了均衡局部模式获得了信息更丰富、判别性更强的局部特征。在ORL、AR和LFW数据集上,针对ORL、AR和LFW人脸库和相关典型方法的对比结果发现:在时间耗费相当时,均衡局部模式的识别率提升最高达15.52%;进一步融合DOG金字塔补充多尺度特征后,识别率再次提升,最高可达9.24%。实验结果表明,与现有典型提取方法相比,均衡局部模式特征明显拥有更强的表征能力及鲁棒性,多尺度信息进一步增强了特征性能,尤其在少样本环境,当样本信息有限时,整体算法的优势更加明显。In order to solve the problem that local binary pattern and local graph structure methods lack sufficient feature expression ability because of the unbalanced extraction method, and the limitation that only using local features can’t fully describe face information, this paper proposes a method called Face recognition based on DOG multi-scale fusion of Balanced Local Pattern. Firstly, in view of the shortcomings of LBP and LGS, on the basis of balanced optimization by using double-circle cross-sampling, adaptive threshold based on local macro information, and a center-symmetric sampling graph structure, this paper proposes Extended Cross Local Binary Pattern and Four-angle star Local Graph Structure methods with variable parameters, which are collectively called Balanced Local Pattern, which can enhance the extraction of key feature information. Then, the DOG pyramid generated by the Gaussian kernel and image difference is fused with the balanced local pattern method. The supplemented multi-scale feature map enriches the sample information while achieving the fusion of large-scale global contours and small-scale local details, which can further capture inter-class and intra-class difference characteristics. Finally, the comprehensive and accurate feature vector is obtained by weighted cascading the sub-block histograms of all feature map, and the nearest neighbor classifier is used to complete the recognition. The subjective and objective comparison of feature map and histogram theoretically verifies that the balanced local pattern can obtain local features with richer information and stronger discrimination. On the ORL, AR and LFW datasets, the proposed method is compared with the relevant typical methods, and the results on the ORL, AR and LFW databases show that the recognition rate of Balanced Local patterns is improved by up to 15.52% when the time consumption is the same as that of typical methods;after further integration of DOG pyramid, the recognition rate is increased by up to 9.24% again. The experimental results show that compared with the existing typical extraction methods, the balanced local pattern features have stronger representation ability and robustness, and the multi-scale information further enhances the feature performance, especially in the small sample environment, when the sample information is limited, the advantage of the whole algorithm is more obvious.展开更多
腰痛(low back pain,LBP)是一个全球性的健康问题,患病率高达84%[1],约2/3的LBP患者在腰痛急性发作后会转化为慢性腰痛(chronic low back pain,CLBP)并长期受其困扰[2]。随着老龄化加重,体力活动减少等变化,全球腰痛情况愈加严重,2006—...腰痛(low back pain,LBP)是一个全球性的健康问题,患病率高达84%[1],约2/3的LBP患者在腰痛急性发作后会转化为慢性腰痛(chronic low back pain,CLBP)并长期受其困扰[2]。随着老龄化加重,体力活动减少等变化,全球腰痛情况愈加严重,2006—2016年LBP的发病率增长了18%[3]。在慢性肌肉骨骼疾病中,腰痛作为导致残疾的首要原因,常伴随着医疗费用的增加和工作缺勤.展开更多
Purpose: Low back pain (LBP), Gonarthrosis, knee, and Carpal Tunnel Syndrome have been regarded as affecting more than three-quarters’ of individuals in their lifetime. The aim of this study was conducted to determin...Purpose: Low back pain (LBP), Gonarthrosis, knee, and Carpal Tunnel Syndrome have been regarded as affecting more than three-quarters’ of individuals in their lifetime. The aim of this study was conducted to determine and compare the effects of topical patients with sand compared with control related to Gonarthrosis, LBP, knee, and Carpal Tunnel Syndrome pain. Methods: This is a prospective case and control designed study based on 101 pain case with Sand and 101 control subjects. The interventional groups in addition either topical sand or without sand 2 months after the intervention were assessed. We assessed tolerability of an established pain perception scale by the Numeric Rating Scale (NRS). Categorical variables were compared using the chi-square (χ<sup>2</sup>) test. The paired t-test was used to compare the two groups before and after the intervention. One-way analysis of variance (ANOVA) was employed for comparison of several group means. Results: The study was based on 202 patients, 41 males (20.3%) and 161 females (79.7%). There were statistically significant differences between subjects with and without Sand in term of Gonarthrosis, Rheumatoid Arthritis LBP, knee, and Carpal Tunnel Syndrome pain (p = 0.033). Majority of patients were over age 55 years old (55%) and females 78 (77.2%). The mean score of total pain experience before and after the intervention was 7.41 ± 1.1 for black sand, and 4.24 ± 2.38 for without sand as control group. The mean scores of these 5 groups were highly significant before and after the intervention (p There was statistically highly significant in regarding subjects with Sand as compared with those before Sand after treatment mean score specifically with gonarthrosis before pain 7.23 ± 1.86 vs after treatment 4.54 ± 2.18 p < 0.001;rheumatoid arthritis before 8.28 ± 1.48 vs after treatment 4.80 ± 3.71 p < 0.001;Low Back Pain before 8.42 ± 1.83 vs after treatment 4.37 ± 1.52 p < 0.001;knee pain before 8.93 ± 0.89 vs after treatment 4.24 ± 0.24 p < 0.001;Carpal Tunnel Syndrome before 7.664 ± 1.04 vs after treatment 4.26 ± 1.03 p Conclusion: The current study has revealed that the topical treatments with sand could have a significant effect on the perception of pain compared to those in the control group with respect of gonarthrosis, rheumatoid arthritis, LBP, knee, and Carpal Tunnel Syndrome pain .展开更多
文摘虹膜特征与其他生物特征相比具有独特优势,因其可以为加密算法生成足够长的密钥。虹膜特征提取是虹膜识别过程中的关键问题。针对密钥安全性和计算效率两大问题,提出了一种新颖的基于保守超混沌系统的虹膜特征提取方法,并结合局部二进制模式(Local Binary Pattern,LBP)和高斯函数差分(Difference of Gaussian,DOG)技术。首先,选择五维保守超混沌系统,验证其保守性和超混沌性质;其次,根据375位虹膜特征码和上述系统,产生特征矩阵,并对该矩阵进行图像增强处理;最后,通过提取DOG极值点和LBP特征,并根据提出的特征融合规则生成128位密钥。实验表明,生成的密钥可以通过美国国家标准与技术研究院(National Institute of Standards and Technology,NIST)随机性测试,且对虹膜特征码极其敏感。
文摘针对局部二值模式(LBP)及局部图结构(LGS)方法因非均衡的提取方式导致特征表达能力不强,以及单纯提取局部特征存在对人脸信息描述不全面的局限性,提出基于均衡局部模式的DOG多尺度融合金字塔人脸识别算法。首先针对LBP、LGS的不足,利用双圆交叉采样和以局部宏观信息为参考的自适应阈值、中心对称的采样图结构实现均衡优化,提出可变参的ECLBP和FLGS方法,合称为均衡局部模式,以增强对关键局部信息的利用;然后将利用高斯核及图像差分生成的DOG金字塔与均衡局部模式方法融合,以多尺度特征图在丰富样本信息的同时实现大尺度全局轮廓和小尺度局部细节的融合,进一步捕捉类间及类内差异特征;最后加权级联所有特征图各子块的统计直方图,得到全面准确的特征向量,采用最近邻分类器匹配,通过特征图、直方图的主客观对比,从理论上验证了均衡局部模式获得了信息更丰富、判别性更强的局部特征。在ORL、AR和LFW数据集上,针对ORL、AR和LFW人脸库和相关典型方法的对比结果发现:在时间耗费相当时,均衡局部模式的识别率提升最高达15.52%;进一步融合DOG金字塔补充多尺度特征后,识别率再次提升,最高可达9.24%。实验结果表明,与现有典型提取方法相比,均衡局部模式特征明显拥有更强的表征能力及鲁棒性,多尺度信息进一步增强了特征性能,尤其在少样本环境,当样本信息有限时,整体算法的优势更加明显。In order to solve the problem that local binary pattern and local graph structure methods lack sufficient feature expression ability because of the unbalanced extraction method, and the limitation that only using local features can’t fully describe face information, this paper proposes a method called Face recognition based on DOG multi-scale fusion of Balanced Local Pattern. Firstly, in view of the shortcomings of LBP and LGS, on the basis of balanced optimization by using double-circle cross-sampling, adaptive threshold based on local macro information, and a center-symmetric sampling graph structure, this paper proposes Extended Cross Local Binary Pattern and Four-angle star Local Graph Structure methods with variable parameters, which are collectively called Balanced Local Pattern, which can enhance the extraction of key feature information. Then, the DOG pyramid generated by the Gaussian kernel and image difference is fused with the balanced local pattern method. The supplemented multi-scale feature map enriches the sample information while achieving the fusion of large-scale global contours and small-scale local details, which can further capture inter-class and intra-class difference characteristics. Finally, the comprehensive and accurate feature vector is obtained by weighted cascading the sub-block histograms of all feature map, and the nearest neighbor classifier is used to complete the recognition. The subjective and objective comparison of feature map and histogram theoretically verifies that the balanced local pattern can obtain local features with richer information and stronger discrimination. On the ORL, AR and LFW datasets, the proposed method is compared with the relevant typical methods, and the results on the ORL, AR and LFW databases show that the recognition rate of Balanced Local patterns is improved by up to 15.52% when the time consumption is the same as that of typical methods;after further integration of DOG pyramid, the recognition rate is increased by up to 9.24% again. The experimental results show that compared with the existing typical extraction methods, the balanced local pattern features have stronger representation ability and robustness, and the multi-scale information further enhances the feature performance, especially in the small sample environment, when the sample information is limited, the advantage of the whole algorithm is more obvious.
文摘腰痛(low back pain,LBP)是一个全球性的健康问题,患病率高达84%[1],约2/3的LBP患者在腰痛急性发作后会转化为慢性腰痛(chronic low back pain,CLBP)并长期受其困扰[2]。随着老龄化加重,体力活动减少等变化,全球腰痛情况愈加严重,2006—2016年LBP的发病率增长了18%[3]。在慢性肌肉骨骼疾病中,腰痛作为导致残疾的首要原因,常伴随着医疗费用的增加和工作缺勤.
文摘Purpose: Low back pain (LBP), Gonarthrosis, knee, and Carpal Tunnel Syndrome have been regarded as affecting more than three-quarters’ of individuals in their lifetime. The aim of this study was conducted to determine and compare the effects of topical patients with sand compared with control related to Gonarthrosis, LBP, knee, and Carpal Tunnel Syndrome pain. Methods: This is a prospective case and control designed study based on 101 pain case with Sand and 101 control subjects. The interventional groups in addition either topical sand or without sand 2 months after the intervention were assessed. We assessed tolerability of an established pain perception scale by the Numeric Rating Scale (NRS). Categorical variables were compared using the chi-square (χ<sup>2</sup>) test. The paired t-test was used to compare the two groups before and after the intervention. One-way analysis of variance (ANOVA) was employed for comparison of several group means. Results: The study was based on 202 patients, 41 males (20.3%) and 161 females (79.7%). There were statistically significant differences between subjects with and without Sand in term of Gonarthrosis, Rheumatoid Arthritis LBP, knee, and Carpal Tunnel Syndrome pain (p = 0.033). Majority of patients were over age 55 years old (55%) and females 78 (77.2%). The mean score of total pain experience before and after the intervention was 7.41 ± 1.1 for black sand, and 4.24 ± 2.38 for without sand as control group. The mean scores of these 5 groups were highly significant before and after the intervention (p There was statistically highly significant in regarding subjects with Sand as compared with those before Sand after treatment mean score specifically with gonarthrosis before pain 7.23 ± 1.86 vs after treatment 4.54 ± 2.18 p < 0.001;rheumatoid arthritis before 8.28 ± 1.48 vs after treatment 4.80 ± 3.71 p < 0.001;Low Back Pain before 8.42 ± 1.83 vs after treatment 4.37 ± 1.52 p < 0.001;knee pain before 8.93 ± 0.89 vs after treatment 4.24 ± 0.24 p < 0.001;Carpal Tunnel Syndrome before 7.664 ± 1.04 vs after treatment 4.26 ± 1.03 p Conclusion: The current study has revealed that the topical treatments with sand could have a significant effect on the perception of pain compared to those in the control group with respect of gonarthrosis, rheumatoid arthritis, LBP, knee, and Carpal Tunnel Syndrome pain .
