The proceedings contain 155 papers. The topics discussed include: a novel method for frame rate up conversion;a fast algorithm for discrete sine transform using first-order moment;Hooke and Jeeves algorithm for linear...
ISBN:
(纸本)9781612848808
The proceedings contain 155 papers. The topics discussed include: a novel method for frame rate up conversion;a fast algorithm for discrete sine transform using first-order moment;Hooke and Jeeves algorithm for linear least-square problems in sparse signal reconstruction;research on Lhasa Tibetan prosodic model of journalese based on respiratory signal;on comparison of pilot-aided OFDM channel estimation algorithms;echo energy analysis for pulse position modulation sequences used for non-crosstalk sonar systems;a family particle swarm optimization based on the family tree;research on e-government information service mechanism based on unified communication technology;3-D geometric signal compression method based on compressed sensing;the research on Arabic numeral symbol's use in poster design;and the prefix and suffix query of Chinese word segmentation algorithm for maximum matching.
In the era of any information on fingertip or on one click, medical diagnosis is context in which wrong diagnosis should be avoided using extensive information related to patients and symptoms. There should be an effi...
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ISBN:
(纸本)9783319636733;9783319636726
In the era of any information on fingertip or on one click, medical diagnosis is context in which wrong diagnosis should be avoided using extensive information related to patients and symptoms. There should be an efficient system in diagnosis in terms of expert diagnostic opinion within short span of time, so that disease should be prevented to become chronic. To streamline this expert diagnostic opinion process to the patients, in daily routine, Expert System (ES) using artificial neural network can be employed. It is the method which can simulate two very important characteristics of humans, learning and generalization. Using ANN algorithms various types of medical data are handled and output is achieved with defining various relations between that data. Radiology is one of the branches of medical science in which various medical imaging techniques are used to diagnose difference internal medical problems. Digital imageprocessing is the science of processing various digital images: such that important information will be generated. An Expert System is also an efficient tool from which diagnosis can be made. Integrating outcomes of neural network from diseased X-ray, to the knowledge based expert system;an expert opinion of diagnosing disease can be generated. In this paper a model is proposed for diagnosing, seven lower lumbar problems as degenerative diseases.
Color pictures are usually compressed in a luminance-chrominance coordinate space. We consider the problem of encoding the chrominance information for very low bit rate video coding systems aimed at bit rates in the r...
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ISBN:
(纸本)0780331222
Color pictures are usually compressed in a luminance-chrominance coordinate space. We consider the problem of encoding the chrominance information for very low bit rate video coding systems aimed at bit rates in the range 8 to 40 kbps. The challenge is that the chrominance components typically get less than 10 to 20% of the total very low bit rate allocated for the video data. We found that it is sufficient to encode the chrominance information at 1/8 of the luminance resolution in both the horizontal and vertical directions. While, for many of the previous coding methods, the compression is performed independently for the luminance and chrominance coordinates, we propose a coding scheme which exploits the coded luminance data in coding and retrieving the chrominance components. The proposed video coder is an improved extension of an existing luminance-only coder so that color motion video can be coded at very low bit rates under fixed frame and bit rate constraints. It is based on a hybrid waveform coding technique with an implicit model-based component. Very good results were obtained for head-and-shoulders sequences even with chroma rates of less than 7% of the total very low bit rate. In addition, subjective tests indicate that the coded chrominance information improves the visual perception of noisy image features.
image registration is a digital imageprocessing technique that takes two or more of images of a scene in different-coordinate systems and transforms them into a single coordinate system. image registration is a neces...
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ISBN:
(纸本)9781628410365
image registration is a digital imageprocessing technique that takes two or more of images of a scene in different-coordinate systems and transforms them into a single coordinate system. image registration is a necessary step in many advanced imageprocessing techniques, such as multi-frame super-resolution. For that reason, registration accuracy is very crucial. While image registration is usually performed on images, one can perform the registration using metric images as well. This paper will present registration methods and their accuracies for various noise levels for the case of pure translational image motion. Registration techniques will be applied to the images themselves as well as to phase congruency images, gradient images, and edge-detected images. This study will also investigate registration of under-sampled images. Noise-free images are degraded using three types of noise: additive Gaussian noise, fixed-pattern noise along the column direction, and a combination of these two. The registration error is quantified for two registration algorithms with three different images as a function of the signal-to-noise ratio. A test on the usefulness of the image registration and registration accuracy performed on the intensity images of the Stokes imaging polarimeter. The Stokes images calculated before and after registration of the intensity images are compared to each other to show the improvement.
Cache replacement policies in chip multiprocessors (CMP) have been investigated extensively and proven able to enhance shared cache management. However, competition among multiple processors executing different thread...
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Cache replacement policies in chip multiprocessors (CMP) have been investigated extensively and proven able to enhance shared cache management. However, competition among multiple processors executing different threads that require simultaneous access to a shared memory may cause cache contention and memory coherence problems on the chip. These issues also exist due to some drawbacks of the commonly used Least Recently Used (LRU) policy employed in multiprocessor systems, which are because of the cache lines residing in the cache longer than required. In imageprocessing analysis of for example extra pulmonary tuberculosis (TB), an accurate diagnosis for tissue specimen is required. Therefore, a fast and reliable shared memory management system to execute algorithms for processing vast amount of specimen image is needed. In this paper, the effects of the cache replacement policy in a partitioned shared cache are investigated. The goal is to quantify whether better performance can be achieved by using less complex replacement strategies. This paper proposes a Middle Insertion 2 Positions Promotion (MI2PP) policy to eliminate cache misses that could adversely affect the access patterns and the throughput of the processors in the system. The policy employs a static predefined insertion point, near distance promotion, and the concept of ownership in the eviction policy to effectively improve cache thrashing and to avoid resource stealing among the processors.
In two dimensions, the exponential X-ray transform has been well-studied due to its applications of correcting attenuation effects in Single Photon Emission Computed Tomography (SPECT). Explicit inversion formulas hav...
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ISBN:
(纸本)0780370414
In two dimensions, the exponential X-ray transform has been well-studied due to its applications of correcting attenuation effects in Single Photon Emission Computed Tomography (SPECT). Explicit inversion formulas have been known for over 15 years. The three-dimensional (3D) case has not been as thoroughly examined, and inversion formulas are available for only a few of the wide range of possible 3D geometries. The Rotating Slant-Hole (RSH) SPECT geometry is a special case for which no inversion formula has yet appeared. This paper presents a general inversion formula for the 3D exponential X-ray transform using a Neumann series. The method applies to any geometry but convergence of the series: depends on the exponential scalar and the size of the region-of-interest. The derivation is presented in the context of the RSH SPECT geometry. Results from computer simulations are given.
Pansharpening is a process of fusing the multispectral (MS) images with the panchromatic (PAN) image to improve the spatial resolution of the MS images. The key of pansharpening is how to extract the lost detail from ...
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The proceedings contain 54 papers. The topics discussed include: a survey on propagation challenges in wireless communication networks over irregular terrains;e-learning adoption in rural-based higher education instit...
ISBN:
(纸本)9781538653166
The proceedings contain 54 papers. The topics discussed include: a survey on propagation challenges in wireless communication networks over irregular terrains;e-learning adoption in rural-based higher education institutions in South Africa;voltage and frequency control of isolated pico-hydro system;innovative quality management system for flexible manufacturing systems;structuring of the terrorism problem in the digital age: a systems perspective;requirements elicitation techniques for dynamic parameterization of feature extraction algorithms in imageprocessing: a survey;and usage of battery energy storage systems to defer substation upgrades.
Segmentation plays a vital role in digital media processing, pattern recognition and computer vision. In the last four decades, extensive research has been done and a number of algorithms have been published in the li...
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ISBN:
(纸本)9781509045594
Segmentation plays a vital role in digital media processing, pattern recognition and computer vision. In the last four decades, extensive research has been done and a number of algorithms have been published in the literature. Each one has its own merits and demerits. This paper aims to make a comparative analysis of the most popularly known segmentation methods, namely K-Means, Region Growing, Mean shift and Watershed segmentation for video from different category. The contribution of the paper is twofold: Conventionally, the value of K in K-Means segmentation is not known a prior and given as input. In order to avoid manual input by the user, Region growing segmentation is used. The prominent regions come as output of the region growing method, is used as input for K-Means segmentation. The performance of the segmentation algorithms is determined using a set of Quality Metric (QM) parameters. Segmentation is done on RGB Color Video from Entertainment, Sports and Natural Scenery category. The results show the most suitable algorithm for segmentation for each category of video. UBUNTU C Version 16.04 LTS is used to implement the algorithms.
Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, existing algorithms suffer from high train...
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ISBN:
(纸本)9781713899921
Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, existing algorithms suffer from high training cost and low success rate along with increased number of subjects. Towards controllable image synthesis with multiple subjects as the constraints, this work studies how to efficiently represent a particular subject as well as how to appropriately compose different subjects. We find that the text embedding regarding the subject token already serves as a simple yet effective representation that supports arbitrary combinations without any model tuning. Through learning a residual on top of the base embedding, we manage to robustly shift the raw subject to the customized subject given various text conditions. We then propose to employ layout, a very abstract and easy-to-obtain prior, as the spatial guidance for subject arrangement. By rectifying the activations in the cross-attention map, the layout appoints and separates the location of different subjects in the image, significantly alleviating the interference across them. Both qualitative and quantitative experimental results demonstrate our superiority over state-of-the-art alternatives under a variety of settings for multi-subject customization. Project page can be found here.
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