This paper offers a new feature-oriented compression algorithm for flexible reduction of data redundancy commonly found in images and videos streams. Using a combination of image segmentation and face detection techni...
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ISBN:
(数字)9781728175744
ISBN:
(纸本)9781728175751
This paper offers a new feature-oriented compression algorithm for flexible reduction of data redundancy commonly found in images and videos streams. Using a combination of image segmentation and face detection techniques as a preprocessing step, we derive a compression framework to adaptively treat `feature' and `ground' while balancing the total compression and quality of `feature' regions. We demonstrate the utility of a feature compliant compression algorithm (FC-SVD), a revised peak signal-to-noise ratio PSNR assessment, and a relative quality ratio to control artificial distortion. The goal of this investigation is to provide new contributions to image and video processing research via multi-scale resolution and the block-based adaptive singular value decomposition.
Digital image watermarking is defined as inserting digital signals in to a cover image such that the degradation of quality would be minimized and most amounts of the hidden data can be retrieved after geometric and s...
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ISBN:
(纸本)9783030011741;9783030011734
Digital image watermarking is defined as inserting digital signals in to a cover image such that the degradation of quality would be minimized and most amounts of the hidden data can be retrieved after geometric and signal processing distortions. In order to select an efficient algorithm in digital image watermarking to fulfill the criteria such as robustness, imperceptibility and capacity, it is necessary to be aware of the specifications of the chosen method. Considering the independency of image histogram from the position of the pixels classifies the histogram modification based watermarking as an appropriate method against geometric and signal processing attacks. This paper investigates the recent presented methods in histogram modification based image watermarking from 2010 to 2017 to identify the weak and strength points of them to emphasize which method should be developed to enhance the performance of the watermarking algorithms in terms of the mentioned criteria. Results show that using the techniques like selection of the adjacent bins intelligently, secret keys and constant points of cover images make them to be a good candidate for image watermarking to withstand against geometric and signal processing attack.
Modern technologies are being used in agriculture such as quality control and classification of grains that are very important for more productive and sustainable production. Classification of the similar small rice g...
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ISBN:
(纸本)9789811308697;9789811308680
Modern technologies are being used in agriculture such as quality control and classification of grains that are very important for more productive and sustainable production. Classification of the similar small rice grains can be also made with the help of imageprocessing techniques. This paper studies different characteristics of Myanmar rice grains and their varieties. The classification of various varieties of rice grains is made by using imageprocessing techniques and algorithms. Five types of rice grains in Myanmar such as Paw San Hmwe, Lone Thwe Hmwe, Ayeyarmin, Kauk-Nyinn-Thwe and Kauk-Nyinn-Pu are considered for present study in classifying the rice seeds and quality. Firstly, each grain image is preprocessed to enhance the grain image and then segmented by using the edge detection methods such as threshold method. Five morphological features are extracted from each grain image. This system emphasizes on the development a computer vision-based system that is combined with proper heuristic algorithms for automatic classification of Myanmar's rice grain samples. This research is very significant in Myanmar because Myanmar is great producer of different qualities of rice grains and therefore the study and basic implementation would greatly help the researchers, agriculturist and other stakeholders of agricultural growth.
In order to solve the problem of accurate positioning of mixed reality virtual scene in physical space, this paper, firstly, analyzes the positioning principle of mixed reality virtual scene. Secondly, based on the co...
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ISBN:
(数字)9781728196688
ISBN:
(纸本)9781728196695
In order to solve the problem of accurate positioning of mixed reality virtual scene in physical space, this paper, firstly, analyzes the positioning principle of mixed reality virtual scene. Secondly, based on the comparison among the three developer kits: ARToolKit, ARTag, and Vuforia and two image optimization algorithms: AHE and ACE, it makes sure to use Vuforia development tool to complete the signature-based tracking and registration task, and use ACE algorithm to optimize the signature-based image. It improves the efficiency, stability and accuracy of image recognition registration. Then the multi-target recognition and registration technology is used to realize the multi-location of virtual scene. Finally, Hololens glasses are used as the hardware carrier to verify the above method. The experimental results show that the above method not only realizes the precise location of MR virtual scene based on image recognition, but also ensures the absolute position of the virtual model in the real space, bringing users a more real virtual experience. Keywords-mixed reality, multi-person collaboration, virtual positioning, gesture interaction.
In this paper we derive a generalized correlation theorem for linear time-invariant (LTI) system with wide-sense stationary (WSS) input. This theorem shows that if z(n) and x (n) are jointly WSS random signals, then z...
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In this paper we derive a generalized correlation theorem for linear time-invariant (LTI) system with wide-sense stationary (WSS) input. This theorem shows that if z(n) and x (n) are jointly WSS random signals, then z (n) and y(n), the output of x (n) passing an LIT system h (n), are also jointly WSS. In addition, the cross-correlation function (CCF) between y (n) and z (n) can be computed by the convolution of h (n) and the CCF between x (n) and z(n). Many results of the correlations between the input and output of an LTI system are special cases of this theorem. Moreover, the correlations between the inputs and outputs of multiple LTI systems can be analysed by this theorem.
The proceedings contain 102 papers. The special focus in this conference is on Intelligent, Interactive systems and Applications. The topics include: Research and Application of Process Object Modeling Method Based on...
ISBN:
(纸本)9783030343866
The proceedings contain 102 papers. The special focus in this conference is on Intelligent, Interactive systems and Applications. The topics include: Research and Application of Process Object Modeling Method Based on Deep Learning;Security Issues for Smart Grid EC System;a Novel Smart Grid Model for Efficient Resources;The Idea of Deep Neural Network algorithms Application in Sharing Economic Dynamic Value CO-creation Mechanism;performance Assessment of Smart Electricity Meters Based on Max Margin Bayesian Classifiers;operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory;research on Object-Oriented Design Defect Detection Method Based on Machine Learning;design of Electromagnetic Energy-Saving Intelligent Vehicle;new Energy Vehicle Reliability Research by Large Data;One-Step Prediction for GM(1,1) with a Sliding Data Window;evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of xinjiang, China Based on an Algorithm of Fuzzy Neutral Network;grape Downy Mildew On-line Detection Based on Accurate imageprocessing Method Preformed on Embedded Ambient Intelligence System;an Improved Bisecting K-Means Text Clustering Method;research on Intelligent Patent Classification Scheme Based on Title Analysis;PLC-Based Control System Design of Intelligent and Efficient Multiple Parking Device;sparse Acceleration Algorithm Based on Likelihood Upper Bound;optimization Design of Quad-Rotor Flight Controller Based on Improved Particle Swarm Optimization Algorithm;diversified Development Path of Cultural Exhibition Industry: Perspective of Service Value Chain;Research on Text Classification Method Based on Word2vec and Improved TF-IDF;Research on Automatic Text Summarization Method Based on TF-IDF;message Transmission-Driven Infectious Disease Propagation Model.
Biometric features such as fingerprint images can be authenticated by not only computer algorithms but also optical systems. In previous works, double random phase encoding (DRPE) optical lens system is employed for f...
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Biometric features such as fingerprint images can be authenticated by not only computer algorithms but also optical systems. In previous works, double random phase encoding (DRPE) optical lens system is employed for fingerprint verification. However, such a system can yield authentication failure when the key is generated from a slightly distorted fingerprint image. In this work, a fingerprint image pre-processing scheme for DRPE fingerprint optical authentication system is proposed. Simulated experimental results demonstrate the proposed method has significantly better robustness to shift, rotation and scale variance than some of the conventional DRPE-based approaches.
In the Industry 4.0 context, humans are taking up new roles in Cyber-Physical systems (CPS) since it was realized that they constitute the most flexible part of an automated system. With this new reality, humans are b...
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ISBN:
(纸本)9781538685006
In the Industry 4.0 context, humans are taking up new roles in Cyber-Physical systems (CPS) since it was realized that they constitute the most flexible part of an automated system. With this new reality, humans are becoming integral parts of CPS, entering in the realm of the Human-in-the-Loop of Cyber-Physical systems (HiLCPS). In this paper, the challenges and technologies for the integration of humans in CPS environments are briefly discussed, and a practical application of the HiLCPS concept is presented. For this purpose, a human operation workbench is empowered with intelligent decision and assistant systems that use, among others, reasoning algorithms, imageprocessing and speech recognition, to improve the productivity and quality of the tasks performed by humans, particularly focusing the assembly of highly customized products, as well as the training of operators to perform complex assembly, repairing or maintenance tasks.
With the wide application of imaging system in security monitoring, aerospace, medical image and other fields, how to capture the clear image of the target in real time and automatically is particularly important. Ima...
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