This paper discusses a pattern design system in textile industry,the establishment of an imagedatabase which is used to store various kinds of source materials for designers’ reference in order tospeed up design proc...This paper discusses a pattern design system in textile industry,the establishment of an imagedatabase which is used to store various kinds of source materials for designers’ reference in order tospeed up design process.Pattern design image database (PDIDB) runs on the double-machine hardware system com-posed of ALTOS-986 and IBM PC/XT microcomputer.The former (host) manages imagedatabase,and the latter works both as a terminal to operate PDIDB and as an image processingstation to input,output,edit and display image data.PDIDB has two mainparts,the image storage management system and the image attributemanagement system and provides some functions,such as retrieval,deleting and updating.展开更多
Hyperspectral remote sensing is becoming more and more important amongst remote sensing techniques. In this paper, we present a hyperspectral database（Hyper DB） designed to cooperate with an embedded hyperspectral i...Hyperspectral remote sensing is becoming more and more important amongst remote sensing techniques. In this paper, we present a hyperspectral database（Hyper DB） designed to cooperate with an embedded hyperspectral image processing system developed by the authors. Hyperspectral data are recognized and categorized by their land coverage class and band information, and can be imported from various sources such as airborne and spaceborne sensors carried by airplanes or satellites, as well as handhold instruments based on in situ ground observations. Spectral library files can be easily stored, indexed, viewed, and exported. Since Hyper DB follows standard design principles—independence, data safety, and compatibility—it satisfies the practical demand for managing categorized hyperspectral data, and can be readily expanded to other peripheral applications.展开更多
The rail surface status image is affected by the noise in the shooting environment and contains a large amount of interference information, which increases the difficulty of rail surface status identification. In orde...The rail surface status image is affected by the noise in the shooting environment and contains a large amount of interference information, which increases the difficulty of rail surface status identification. In order to solve this problem, a preprocessing method for the rail surface state image is proposed. The preprocessing process mainly includes image graying, image denoising, image geometric correction, image extraction, data amplification, and finally building the rail surface image database. The experimental results show that this method can efficiently complete image processing, facilitate feature extraction of rail surface status images, and improve rail surface status recognition accuracy.展开更多
This paper presents the knowledge-based image database system (ISDBS) developed inour laboratory and proposes principles of the system design of a knowledge-based data model,a new data structure and the knowledge repr...This paper presents the knowledge-based image database system (ISDBS) developed inour laboratory and proposes principles of the system design of a knowledge-based data model,a new data structure and the knowledge representation language IDL applicable to the comput-er-aided regional planning. ISDBS was applied successfully to the land planning of AnsaiCounty on the loess plateau and the forest resource management of Songjianghe territory inNortheast China.展开更多
This paper presents an algorithm and then MATLAB program that can construct and process an image depending on a given database and face recognition technique, which helps in the operations of investigation issues for ...This paper presents an algorithm and then MATLAB program that can construct and process an image depending on a given database and face recognition technique, which helps in the operations of investigation issues for policemen and in any similar operations, the image gets constructed and implemented as the database is developed. It is found that such image processing operation helps in operations needs quick investigation transactions of some issues like policemen works and operations. The method depends on the given database about the face of the person, the face recognition depends on drawing a face of the given data and then comparing the resulted face with the stored data and find the most closes one and choose it to be its goal. This operation needs a time, it is not real-time operation but the time needed is too short. This method develop a method to make the operation of searching about some unknown person or face faster which helps more all sectors interested in searching about some unknowns in their transactions.展开更多
As the computer system has developed much in this highly information-oriented society, database security has become a very important problem and its backup strategies need to be made more efficiently and safety. The i...As the computer system has developed much in this highly information-oriented society, database security has become a very important problem and its backup strategies need to be made more efficiently and safety. The image copy method has been used as the most simple and dependable recovery mechanism for media failure. However, this method spends high overhead costs for massive data transmission and much processing time in the normal operation of the database. To cover such weak points, incremental and full backup methods are adopted before updated trucks reach a predetermined level. Moreover, when the number of full backup files exceeded a predetermined level, we stop incremental and full backups and switch it to the image copy. This paper applies cumulative damage model to backup of files in a database system, by putting damage shock by update, failure shock by database failure and damage by dumped files, and considers the tradeoff among overhead costs of image copy and incremental, full backup methods, and discusses analytically an optimal policy for the image copy backup interval. Finally, numerical examples are given in the case of Poisson process and exponential distributions.展开更多
In the study of spiral galaxy morphology,spiral arm structures are valuable for intuitively reflecting active physical and chemical processes within galaxies.However,long-term scarcity of high-quality one-,three-,and ...In the study of spiral galaxy morphology,spiral arm structures are valuable for intuitively reflecting active physical and chemical processes within galaxies.However,long-term scarcity of high-quality one-,three-,and four-armed galaxy samples has limited deep learning model performance.To address this,this study developed a spiral galaxy data simulation program with a three-stage workflow:first,screening highly reliable training samples;second,selecting the best-performing Imagen architecture as the generative model after comparing nine mainstream ones;finally,training Imagen to generate an open data set of 9402 one-/three-armed galaxies,expanding the original sample size by 6 times.Multi-dimensional evaluations verified reliability and usability:Fréchet Inception Distance scores for N=1 and N=3 tasks were 6.05 and 9.13;the t-distributed Stochastic Neighbor Embedding showed generated data covered and expanded real data distribution;the Structural Similarity Index Measure confirmed no sample duplication.In downstream validation,data augmentation improved seven classification models'average accuracy by 8.7%(DenseNet peaked at 97%),and SHapley Additive exPlanations analysis showed model decisions focused on spiral arm topology.In conclusion,the program and data set support spiral galaxy morphology deep learning research and are publicly available at https://github.com/TuAstroAILab/AstroGS.展开更多
图像数据在数据库中的存取问题一直是数据库研究的热点。在建立数据库中经常会遇到对图像数据进行处理,但往往对图像数据的处理不同于其他普通数据那么简单,本文在VC++开发环境中,针对SQL Server 2000数据库关系表中图像(BLOB数据)的存...图像数据在数据库中的存取问题一直是数据库研究的热点。在建立数据库中经常会遇到对图像数据进行处理,但往往对图像数据的处理不同于其他普通数据那么简单,本文在VC++开发环境中,针对SQL Server 2000数据库关系表中图像(BLOB数据)的存取问题进行了初步探讨,选用直接将图像数据存储在数据库关系表中的方法,在VC++中采用AppendChunk和GetChunk函数实现图像数据的存取。最后,结合应用实例,介绍了图像存取的基本方法及实现过程,给出关键源代码及程序运行结果。展开更多
文摘This paper discusses a pattern design system in textile industry,the establishment of an imagedatabase which is used to store various kinds of source materials for designers’ reference in order tospeed up design process.Pattern design image database (PDIDB) runs on the double-machine hardware system com-posed of ALTOS-986 and IBM PC/XT microcomputer.The former (host) manages imagedatabase,and the latter works both as a terminal to operate PDIDB and as an image processingstation to input,output,edit and display image data.PDIDB has two mainparts,the image storage management system and the image attributemanagement system and provides some functions,such as retrieval,deleting and updating.
文摘Hyperspectral remote sensing is becoming more and more important amongst remote sensing techniques. In this paper, we present a hyperspectral database（Hyper DB） designed to cooperate with an embedded hyperspectral image processing system developed by the authors. Hyperspectral data are recognized and categorized by their land coverage class and band information, and can be imported from various sources such as airborne and spaceborne sensors carried by airplanes or satellites, as well as handhold instruments based on in situ ground observations. Spectral library files can be easily stored, indexed, viewed, and exported. Since Hyper DB follows standard design principles—independence, data safety, and compatibility—it satisfies the practical demand for managing categorized hyperspectral data, and can be readily expanded to other peripheral applications.
文摘The rail surface status image is affected by the noise in the shooting environment and contains a large amount of interference information, which increases the difficulty of rail surface status identification. In order to solve this problem, a preprocessing method for the rail surface state image is proposed. The preprocessing process mainly includes image graying, image denoising, image geometric correction, image extraction, data amplification, and finally building the rail surface image database. The experimental results show that this method can efficiently complete image processing, facilitate feature extraction of rail surface status images, and improve rail surface status recognition accuracy.
基金Project supported by the National Natural Science Foundation of China.
文摘This paper presents the knowledge-based image database system (ISDBS) developed inour laboratory and proposes principles of the system design of a knowledge-based data model,a new data structure and the knowledge representation language IDL applicable to the comput-er-aided regional planning. ISDBS was applied successfully to the land planning of AnsaiCounty on the loess plateau and the forest resource management of Songjianghe territory inNortheast China.
文摘This paper presents an algorithm and then MATLAB program that can construct and process an image depending on a given database and face recognition technique, which helps in the operations of investigation issues for policemen and in any similar operations, the image gets constructed and implemented as the database is developed. It is found that such image processing operation helps in operations needs quick investigation transactions of some issues like policemen works and operations. The method depends on the given database about the face of the person, the face recognition depends on drawing a face of the given data and then comparing the resulted face with the stored data and find the most closes one and choose it to be its goal. This operation needs a time, it is not real-time operation but the time needed is too short. This method develop a method to make the operation of searching about some unknown person or face faster which helps more all sectors interested in searching about some unknowns in their transactions.
文摘As the computer system has developed much in this highly information-oriented society, database security has become a very important problem and its backup strategies need to be made more efficiently and safety. The image copy method has been used as the most simple and dependable recovery mechanism for media failure. However, this method spends high overhead costs for massive data transmission and much processing time in the normal operation of the database. To cover such weak points, incremental and full backup methods are adopted before updated trucks reach a predetermined level. Moreover, when the number of full backup files exceeded a predetermined level, we stop incremental and full backups and switch it to the image copy. This paper applies cumulative damage model to backup of files in a database system, by putting damage shock by update, failure shock by database failure and damage by dumped files, and considers the tradeoff among overhead costs of image copy and incremental, full backup methods, and discusses analytically an optimal policy for the image copy backup interval. Finally, numerical examples are given in the case of Poisson process and exponential distributions.
基金supported by the National Natural Science Foundation of China(NSFC,grant No.U1731128)the support of the Association for Astronomy X A.I.(A3),funded by the Science and Education Integration Funding of the University of Chinese Academy of Sciences。
文摘In the study of spiral galaxy morphology,spiral arm structures are valuable for intuitively reflecting active physical and chemical processes within galaxies.However,long-term scarcity of high-quality one-,three-,and four-armed galaxy samples has limited deep learning model performance.To address this,this study developed a spiral galaxy data simulation program with a three-stage workflow:first,screening highly reliable training samples;second,selecting the best-performing Imagen architecture as the generative model after comparing nine mainstream ones;finally,training Imagen to generate an open data set of 9402 one-/three-armed galaxies,expanding the original sample size by 6 times.Multi-dimensional evaluations verified reliability and usability:Fréchet Inception Distance scores for N=1 and N=3 tasks were 6.05 and 9.13;the t-distributed Stochastic Neighbor Embedding showed generated data covered and expanded real data distribution;the Structural Similarity Index Measure confirmed no sample duplication.In downstream validation,data augmentation improved seven classification models'average accuracy by 8.7%(DenseNet peaked at 97%),and SHapley Additive exPlanations analysis showed model decisions focused on spiral arm topology.In conclusion,the program and data set support spiral galaxy morphology deep learning research and are publicly available at https://github.com/TuAstroAILab/AstroGS.
文摘图像数据在数据库中的存取问题一直是数据库研究的热点。在建立数据库中经常会遇到对图像数据进行处理,但往往对图像数据的处理不同于其他普通数据那么简单,本文在VC++开发环境中,针对SQL Server 2000数据库关系表中图像(BLOB数据)的存取问题进行了初步探讨,选用直接将图像数据存储在数据库关系表中的方法,在VC++中采用AppendChunk和GetChunk函数实现图像数据的存取。最后,结合应用实例,介绍了图像存取的基本方法及实现过程,给出关键源代码及程序运行结果。
