检索结果-内蒙古大学图书馆

Construction of a recognition algorithm based on the assessment of the interdependence between local elements of the face image

引用

Procedia Computer Science 2024年 234卷 131-139页

作者： Shavkat Fazilov Olimjon Mirzaev Sobirjon Radjabov Gulmira Mirzaeva Ilyos Rabbimov Research Institute for the Development of Digital Technologies and Artificial Intelligence 17A Boz-2 Tashkent 100125 Uzbekistan Institute of Fundamental and Applied Research THAME National Research University 39 Qori Niyaziy str Tashkent 100000 Uzbekistan Tashkent University of Information Technologies named after Muhammad al-Khwarizmi 108 Amir Temur str Tashkent 100200 Uzbekistan Samarkand State University 15 University boulevard Samarkand 140104 Uzbekistan

This study proposes a family (model) of recognition algorithms based on the assessment of the interdependence between local elements of a face image. The main idea of the proposed algorithms is to calculate two-level membership estimates for the considered face image. At the first level, the degree of belonging of the facial element under consideration (for example, the nose) to the given classes is determined. At the second level, a decision is made whether the considered face image belongs to one of the given classes based on the generalization (integration) of estimates of the belonging of the classified facial elements to the given classes. The proposed algorithms are implemented on the ORL and FERET databases. The implementation of these algorithms improves the accuracy and speed of face recognition.

关键词： recognition algorithm local elements of the face image local classifiers

来源：评论

学校读者我要写书评

暂无评论

The application of recognition algorithm based on artificial immune and the study of its convergence

The application of recognition algorithm based on artificial...

引用

6th World Congress on Intelligent Control and Automation

作者： Zhou, Ying Qiu, Zhiliang Liu, Zuojun Yang, Peng Hebei Univ Technol Sch Elect Engn & Automat Tianjin 300130 Peoples R China

ISBN: (纸本)1424403316

A new artificial immune recognition algorithm based on Biological Immune system is proposed in this paper and its convergence is proved. The algorithm has the following features: calculating the affinity between antibodies and antigens with improved Euclid distance;increasing the variety of antibodies by adopting antibody mutation, which also enhances the ability of recognizing antigens;finally antibodies memory matrixes come into being, which results in the quick recognition on antigens. Fixed point theory and compressed mapping theorem are used to prove the convergence of the algorithm. It analyzed the application of this algorithm in state recognition of a heating furnare, it proved that the algorithm has high recognition rate and high learning rate.

关键词： immune system recognition algorithm convergence state recognition

来源：评论

学校读者我要写书评

暂无评论

Variable Operator Image Contour recognition algorithm Based on Edge Sharpening

Variable Operator Image Contour Recognition Algorithm Based ...

引用

作者： Liu Shangzheng Liu Bin Nanyang Institute of Technology

The current target contour recognition algorithm is prone to the problem of insufficient target contour extraction accuracy when the image target edge features are not obvious and the background is complicated. To make up for the shortcomings of the algorithm, this study proposes an edge-based approach. Sharpened variable operator image target contour recognition algorithm, by introducing Laplacian differential operator and Fourier transform, constructs the edge sharpening operator of the joint image, and then constructs the gradient feature based on the gradient feature. The target contour recognition algorithm of the variable operator image is used to measure the relevant parameters of the manufactured object. The experimental results show that compared with the generalized target contour recognition algorithm, the proposed algorithm can guarantee accuracy and stability in more complex uncertain environments.

关键词： variable operator image target contour edge sharpening recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

A NEW recognition algorithm WITH HIGH RESULT RELIABILITY

A NEW RECOGNITION ALGORITHM WITH HIGH RESULT RELIABILITY

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Xiaoyu Liu Zhongyuan Yu Yumin Liu Houjian Kang Jinhong Mu State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications

High recognition rate is the aim of pattern recognition, which is difficult to obtain without ideal feature extraction. To solve this problem, a new recognition algorithm with high result reliability is proposed. The core contents of this algorithm are MSCM (multiple-set-compete method) and the algorithm of result reliability. In this paper, MSCM improving the recognition rate with nonideal feature extraction and the algorithm of result reliability are illustrated. A specific recognition case of 16 classes of sounds and the test flow of the specific case are given. The results show that the new recognition algorithm can improve the recognition rate greatly.

关键词： recognition rate Result reliability MSCM recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of recognition algorithm Based on Four-band Infrared Flame Detector

Design and Implementation of Recognition Algorithm Based on ...

引用

第30届中国控制与决策会议

作者： Liu Yuanyuan Wuxi Vocational College of Science and Technology Institute of Automation Jiangnan University

Based on four-band Infrared flame detector of 4.26μm, 2.2μm, 3.9μm and 4.8μm, the flame characteristic information is extracted and analyzed, and a scheme for realizing the specific identification algorithm of four-band infrared flame detector is proposed. By analyzing and comparing the mathematical relations of the spectral characteristics of the four bands, the identification of the four-band infrared flame is realized by the combination of the threshold method, the mathematical correlation analysis method and the signal average power method. The experimental results show that the recognition algorithm is feasible and reliable, and the accuracy of the infrared flame detector and the ability of adapting to the environment can be improved effectively, and the aim of the high reliability and long-distance detection is realized.

关键词： four-band infrared flame detector spectral characteristics recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

A Research Based on recognition algorithm of Characteristics of Body Surface of Infected Fish

A Research Based on Recognition Algorithm of Characteristics...

引用

第三届国际计算机及计算技术农业应用学术会议

作者： Yan Wang~(1,2),Haijian Ye~(1,*),Baozhen Li~2 1 College of Information and Electrical Engineering,China Agricultural University,No.17, Tsinghua East Road,Haidian,Beijing,100083,China. 2 Ocean College,Hebei Agricultural University,No.52,East Part of Hebei Street, Qinhuangdao City,Hebei Province,066003,China

The contents of this research is how identify an infected fish through analysis of it's image to get from the monitoring aquaculture process by *** studying recognition algorithms about surface images of infected fish,we identifie automatically fish diseases by computer and no need of manual intervention *** early warning from computer makes it possible to take measures to prevent and save the loss and damages in fishing industry intensive and *** accordance with fish's own body color characteristics of a large contrast,we use Dualthreshold Difference-image Method to extract it's contour,then can make fish's image a structural segmentation according to the proportion of it's head,tail and body,and further extract their color and texture feature vector in order to compare the surface feature vectors with that normal fish have ownned,we can find some infected fishes or no,and even the type of fish diseases.

关键词： identify an infected fish analysis of image characteristics of body surface recognition algorithm Dual-threshold Difference-image Method

来源：评论

学校读者我要写书评

暂无评论

An improved recognition algorithm for lunar terrain based on CCD image

An improved recognition algorithm for lunar terrain based on...

引用

2016 4th International Conference on Machinery,Materials and Computing Technology(ICMMCT 2016)

作者： Zhankai Li Jiaheng Chen Yiren Chang Xiaolin Tian Faculty of Information Technology Macau University of Science and Technology Lunar and Planetary Science Laboratory/Space Science Institute Macau University of S and T

With the development of space technology, topographic study of celestial bodies becomes increasingly important. In order to better carry out geomorphologic analysis and landing site selection of celestial bodies, the terrain classification becomes particularly critical. This paper provides an improved algorithm and proved its better in identifying the lunar mare area and the highland area of the CCD images with four features used in k-means clustering. We chose two typical areas: ‘H010' and ‘SI' areas of lunar terrain to research. And the result of the improved algorithm is analyzed from two different block size with different number of testing points. And also the whole recognition rate and Cohen's kappa coefficient are both better than the result of previous algorithm in using DEM or CCD data. Especially in the ‘H010' area, the average whole recognition rate is 91.4325%, and the average Cohen's kappa coefficient is 0.813.

关键词： CCD image recognition algorithm Lunar terrain Mare and Highland

来源：评论

学校读者我要写书评

暂无评论

Research on the recognition algorithm of Chinese Traditional Scales Based on Decision Tree

Research on the Recognition Algorithm of Chinese Traditional...

引用

第37届中国控制会议

作者： Yang Deng Li Zhou Shan Ni Si Zhang MengQi You Music Department Arts and Communication School China University of Geosciences （Wuhan）

The affective computing of music is an essential component of the music artificial intelligence field, especially those regards human-computer interaction technology, as for music mode is a crucial component of musical emotion perceptions. To be more specific, the recognition skill of scales, the music mode material remains manually used today, which endow this research a great practical significance for using the algorithm to recognizing them in high speed. This paper describes how to classify the Chinese traditional scales（CTS） and annotate the emotional colors of the Chinese traditional music（CTM） through algorithm recognition methods, based on setting up a decision tree. This algorithm-testing database consists of MIDI samples either in CTS or not, while taking three steps to determine it: sample pre-processing, decision tree classification, result verification. The experiment results show the accuracy of this cognition method on samples were non restrict to CTS. Which prove the feasibility of indirectly obtaining emotion colors through the process to identify and classify CTM based on the decision tree.

关键词： music affective computing decision tree Chinese traditional scales recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

recognition and Extraction algorithm Design for Defect Characteristics of Armor-plate Flaw Detection Image

Recognition and Extraction Algorithm Design for Defect Chara...

引用

Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

作者： Xiaohao Li Ying Huang Qunchao Zhao School of Mechanical Engineering and Automation Northeastern UniversityShenyangLiaoningChina

ISBN: (纸本)9781424470815

Aiming at the detection image of strip steel which rolled on the 15mm plate production line in a steel plant, the defect characteristics recognition and extraction algorithm had been analyzed and designed, based on the computer image processing and pattern recognition theory. And the corresponding defect characteristics recognition and processing program had been programmed by vc++6.0 computer language. In the paper, the 8 direction pixel gray value search algorithm had been compiled based on the computer image color grading theory firstly, then to extract every gray level pixel information of the armor-plate detection image, and to carry out the corresponding every gray level pixel distribution probability statistic. Based on the statistical results, the twodimension histogram Fish evaluation function algorithm for the armor-plate CCD image processing had been designed, and the result of practical application shows that the defect characteristics recognition system which programmed based on the algorithm ahead can accurately recognize and extract the defect characteristics data from the armor-plate rolled detection image, and can effectively satisfy the industrial production requirement of plate rolled.

关键词： image processing histogram evaluation function recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

Distinguishing graphs via cycles

引用

DISCRETE APPLIED MATHEMATICS 2025年 364卷 74-98页

作者： Klobas, Nina Krnc, Matjaz Univ Durham Dept Comp Sci Durham England Univ Primorska FAMNIT Koper Slovenia Univ Primorska IAM Koper Slovenia Univ Ljubljana Fac Math & Phys Ljubljana Slovenia

In this paper, we employ the cycle regularity parameter to devise efficient recognition algorithms for three highly symmetric graph families: folded cubes, I-graphs, and double generalized Petersen graphs. For integers & ell;,lambda,m a simple graph is [& ell;,lambda,m]-cycle regular if every path of length & ell;belongs to exactly lambda different cycles of length m. We identify all [1,lambda,8]-cycle regular I-graphs and all [1,lambda,8]-cycle regular double generalized Petersen graphs. For n >= 7 we show that a folded cube FQ(n) is [1,n-1,4], [1,4n(2)-12n+8,6] and [2,4n-8,6]-cycle regular, and identify the corresponding exceptional values of cycle regularity for n<7. As a consequence, we describe a linear recognition algorithm for double generalized Petersen graphs, an O(|E|log|V|) recognition algorithm for the family of folded cubes, and an O(|V|(2)) recognition algorithm for I-graphs. We believe the structural observations and methods used in the paper are of independent interest and could be used to solve other algorithmic problems. The results of this paper have been presented at COCOON 2021.

关键词： recognition algorithm Generalized Petersen graphs Double generalized Petersen graph Folded cubes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：