In optical camera communication (OCC), LED panels are used to transmit visible light signal which will be received by cameras. The transmitted data is obtained through processing the captured images of LED panels. The...
In optical camera communication (OCC), LED panels are used to transmit visible light signal which will be received by cameras. The transmitted data is obtained through processing the captured images of LED panels. The first step in this process is to determine where the LED panels are in the image. Existing object detection algorithms are not originally designed for LED detection and thus is not effective for this task. In this study, based on distinct characteristics of LED, a simple and effective LED panel detection algorithm is proposed. The performance of the proposed algorithm is verified through simulations.
Wireless Capsule Endoscopy (WCE) is an advantageous tool for diagnosing gastrointestinal disorders. An automated analysis method is required to detect abnormality because a large number of images is produced along WCE...
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ISBN:
(数字)9781728153506
ISBN:
(纸本)9781728153513
Wireless Capsule Endoscopy (WCE) is an advantageous tool for diagnosing gastrointestinal disorders. An automated analysis method is required to detect abnormality because a large number of images is produced along WCE journey through the patient`s digestive tract. In this paper, a computer-aided method is proposed to detect bleeding frames. Bleeding is the most common abnormality in WCE images. This abnormality is distinguishable by using its color features. Hence, in this method, at first, different statistical features are extracted from color channels in different color spaces. Then, a feature selection method based on genetic algorithm is proposed to select a subset of the appropriate features. The experimental results show that the proposed feature selection method increases the detection accuracy and reduces the size of initial features set by almost half. The achieved accuracy, recall and precision of the proposed method are 97.58, 96.76 and 98.29, respectively.
This work presents a reconfigurable embedded implementation of a fly-inspired edge detection algorithm that allows for run-time alteration of the numerical format in response to constraints on accuracy and resources. ...
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ISBN:
(纸本)9781538673928
This work presents a reconfigurable embedded implementation of a fly-inspired edge detection algorithm that allows for run-time alteration of the numerical format in response to constraints on accuracy and resources. The low-resource, high-performance system can effectively detect edge orientation and location. This work illustrates the advantages of run-time reconfiguration technology for the implementation of fly-inspired vision algorithms whose capabilities can surpass or supplement traditional imageprocessingsystems.
The main motive of a flood detection system is to detect and forecast flood to alert the public from natural calamities and threats. Although many flood detection systems are already available but there is a need of a...
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ISBN:
(数字)9781728123868
ISBN:
(纸本)9781728123875
The main motive of a flood detection system is to detect and forecast flood to alert the public from natural calamities and threats. Although many flood detection systems are already available but there is a need of a system with high computational and processing power with reduced cost. The main purpose of this paper to implement high performance flood detection system using Graphics processing Unit(GPU). Graphics processing units have very high computation power as it comes with hundreds of cores in contrast to CPU. Also they are less expensive and can be used as a default computing environment for parallel processing. Flood detection is a very critical task requiring instant and robust processing. The remote imagery obtained from satellite is processed to detect the extent of flood. The parallel computation is exploited to process large amount of pixels at a time. algorithms are implemented both on CPU as well as GPU to evaluate the performance in terms of speed.
This paper proposes a novel way of exploiting NEON SIMD instructions for accelerating projective transformation in ARM platforms. Instead of applying data parallelism to linear algorithms, we study the effectiveness o...
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ISBN:
(纸本)9789897583063
This paper proposes a novel way of exploiting NEON SIMD instructions for accelerating projective transformation in ARM platforms. Instead of applying data parallelism to linear algorithms, we study the effectiveness of SIMD intrinsics on this non-linear algorithm. For image resampling, Lanczos interpolation is used since it is adequately accurate, despite its rather large complexity. Multithreading is also employed for optimal use of system resources. Moreover, qualitative and quantitative results of NEON's performance are presented and analyzed.
To form high quality of human brain images the Magnetic Resonance Imaging plays a vital role in the medical imaging. MRI is used for the detection of brain, prostrate cancers etc. for the structural visualization, fun...
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ISBN:
(纸本)9781538658666
To form high quality of human brain images the Magnetic Resonance Imaging plays a vital role in the medical imaging. MRI is used for the detection of brain, prostrate cancers etc. for the structural visualization, functions of tissues and other organs in the body. MRI basic principal over whom it works is NMR and specifically the field gradient NMR. Different noises for example salt and pepper noise, speckle noise, Gaussian noise, is prone to suffer from the MRI diagnosis images. Therefore acquiring accurate brain images is a very complicated task. algorithms for imageprocessing are implemented to capture MRI data and for its *** images for de-noising various techniques have been presented also each method have its own assumption, merits and demerits. The performance evaluation of these techniques is considered based on the parameters like PSNR and MSE.
Currently, automatic face detection systems are widely used in various social media. The improvement of the automated intelligent face recognition can easily result in the invasion of the user 's privacy if the pr...
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ISBN:
(纸本)9781538636626
Currently, automatic face detection systems are widely used in various social media. The improvement of the automated intelligent face recognition can easily result in the invasion of the user 's privacy if the predefined functions for their so-called artificial intelligent systems are designed with no respect to the user privacy, this means that users do not get the right to prevent these types of automatic face detection. The problem does not stop here, and recently some organization attempted to use automated face recognition system as a digital personal judgment tools. For instance, judging if a person is criminal only based on the attributes of his/her face. In the present technology, spreading the personal information such as individual digital images are fast and inevitable. Thus, in this paper, some of the techniques to evade automatic face recognition is investigated. The focused of this article is to highlight the advantages of different Half-Toning algorithms concerning avoiding unwanted automated face detection/recognition. In the experimental phase, the result of varying filtering and modification algorithms compared to the proposed filtering technique.
作者：
Amal AdouaniWiem Mimoun Ben HeniaZied LachiriSignal
Image and Information Technologies laboratory (LR-11-ES17) University of Tunis El Manar National Engineering School of Tunis BP. 37 Belvdre Tunis Tunisia
Finding faces in the images or in real time situation is a challenging imageprocessing problem. Hence, new approaches have achieved accurate real time detection. This paper aims to find the best face detector and spe...
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ISBN:
(数字)9781728122922
ISBN:
(纸本)9781728122939
Finding faces in the images or in real time situation is a challenging imageprocessing problem. Hence, new approaches have achieved accurate real time detection. This paper aims to find the best face detector and specifically proper for real time detection for further work. Different face detection algorithms are analyzed and compared namely: (1) Haar-like features, (2) Local Binary Pattern and (3) Histogram of oriented object. For this aim, the multimodal RECOLA database is used. The test is implemented using the python language with Opencv and the dlib libraries. After applying and evaluating the face detectors on each video, the obtained experimental results proved that the Histogram of oriented object algorithm has the efficient detection rate of 62.16% out of the three methods while the LBP algorithm has the fastest frame rates of 33.79 frames per second.
The importance of protecting the information has increased rapidly during the last decades. This motivates the need for cryptographic algorithms. The Acceleration of the symmetric key cryptography algorithm is enhance...
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ISBN:
(纸本)9781538608074
The importance of protecting the information has increased rapidly during the last decades. This motivates the need for cryptographic algorithms. The Acceleration of the symmetric key cryptography algorithm is enhanced using parallel implementation on GPGPUs with Open Computing Language (OpenCL). The General Purpose Graphics processing Units (GPGPU) enables high level of parallelism with Compute Unified Device Architecture (CUDA)/Open Computing Language (OpenCL) programming environments using (Single Instruction Multiple Data) SIMD architecture. In this paper, the parallel implementation of Advanced Encryption Standard (AES) Algorithm using OpenCL is presented. The experimental results show that, the parallel implementation of encryption algorithm tested on GPUs accelerates the speed when compared to sequential implementation of encryption algorithm. The experimental result shows that, the percentage 99.8% is improved compared to sequential implementation of Encryption algorithm.
This article focuses on aspects specific to adaptive mobile robot systems. These include ensuring versatility and an increased degree of flexibility, high performance, resistance to environmental influences, the need ...
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This article focuses on aspects specific to adaptive mobile robot systems. These include ensuring versatility and an increased degree of flexibility, high performance, resistance to environmental influences, the need for miniaturization, orientation towards a widely accessible elemental base, compatibility with existing robot control devices, and others. Around the world, the scientific and technical level of development of mobile robots for smart enterprises is increasing very rapidly; their elemental base is constantly updated. Therefore, the article provides a relatively small part allocated to describe the elements and special technical solutions in specific applications used today in order to avoid descriptiveness. At the same time, the article attempted to generalize the methods of selecting and calculating the typical blocks necessary to create a mobile robot and its sensation system, regardless of its purpose. Based on a unified approach, the requirements for the sensory organs of mobile robots, including a vision system and imageprocessingalgorithms, are examined. Various recognition algorithms based on operations with attributes and based on operations with objects are analyzed. In finding ways to implement these requirements, emphasis is placed on the need for a rational combination of hardware and software.
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