In this paper, imageprocessingalgorithms designed in Zynq SoC using the Vivado HLS tool are presented and compared with hand-coded designs. In Vivado HLS, the designer has the opportunity to employ libraries similar...
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ISBN:
(纸本)9781509045655
In this paper, imageprocessingalgorithms designed in Zynq SoC using the Vivado HLS tool are presented and compared with hand-coded designs. In Vivado HLS, the designer has the opportunity to employ libraries similar to OpenCV, a library that is well-known and wide used by software designers. The algorithms are compared in terms of area resources in two conditions: using the libraries and not using the libraries. The case studies are Data Binning, a Step Row Filter and a Sobel Filter. These algorithms have been selected because they are very common in the field of imageprocessing and they have high computational complexity. The main benefit of the Vivado HLS tool is the reduction in time-to-market. On the other hand, when a software designer hand-codes the design, the use of imageprocessing libraries similar to OpenCV helps to reduce development time even further because software designers are familiar with them. However, using these kinds of libraries significantly increases the necessary FPGA resources.
DNA microarrays play a very important role in clinical diagnosis to find out the expression levels of large number of genes simultaneously and mutation of the genes in a given organism. This raw microarray fluorescenc...
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ISBN:
(纸本)9781509047611;9781509047604
DNA microarrays play a very important role in clinical diagnosis to find out the expression levels of large number of genes simultaneously and mutation of the genes in a given organism. This raw microarray fluorescence signal has a lot of noise, which may originate from auto fluorescence, background noise, non specific binding and detector itself. In this paper, we tried to exploit the different denoising algorithms based on the diffusion filtering and perform their comparative study to find out the best method suitable for low intensity images of microarray. A quantitative measure of image is provided by signal to noise ratio (SNR) of image and visual quality of denoised images compared with universal quality index. This helps to reduce the quantification errors in calculating the expression levels in individual microarray spots and for better representation of the microarray data for clinical diagnosis.
This paper shows the results of the automatic design of a generic heat sink, through a morphogenesis algorithm done in Matlab. This algorithm is based on two-dimensional fractal images, generated by Lindenmayer system...
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ISBN:
(纸本)9781510605039;9781510605046
This paper shows the results of the automatic design of a generic heat sink, through a morphogenesis algorithm done in Matlab. This algorithm is based on two-dimensional fractal images, generated by Lindenmayer systems, which create the heat sink shape. Those shapes iteratively evolve through a genetic algorithm in order to maximize their heat dissipation capability, estimating it through measurements of their surface and volume. Evaluation process was supported by imageprocessingalgorithms. Finally finite elements simulations are carried out in order to determine the real heat dissipation capability of each design and thus obtaining some valid heat sink shapes.
Background extraction is a fundamental task present in most computer vision applications such as video surveillance, optical motion capture or multimedia applications. In this paper we explore a particular foreground ...
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ISBN:
(纸本)9781509049929
Background extraction is a fundamental task present in most computer vision applications such as video surveillance, optical motion capture or multimedia applications. In this paper we explore a particular foreground segmentation method based on the well-known Pixel-based Adaptive Segmenter (PBAS) algorithm, proposing modifications that will ease the hardware implementation. Also, the figures of merit of a focal-plane approach for foreground segmentation are studied through the impact of typical temporal and spatial noise sources present in the processing elements of smart image sensors such as leakage currents from analog memories or fixed pattern noise (FPN) from mismatch.
As the successor of H.264, High Efficient Video Coding (HEVC) standard includes various novel techniques, including Coding Tree Unit (CTU) structure and additional angular modes used in intra coding. These new techniq...
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ISBN:
(纸本)9781509063451
As the successor of H.264, High Efficient Video Coding (HEVC) standard includes various novel techniques, including Coding Tree Unit (CTU) structure and additional angular modes used in intra coding. These new techniques promote the coding efficiency on one hand, while increasing the computational complexity significantly on the other hand. In this paper, we propose a fast intra block partitioning algorithm for HEVC to reduce the coding complexity, based on the statistical cost and corner detection algorithm. A block is considered as a multiple gradients region which will be split into multiple small ones, as the corner points are detected inside the block. A block without corner points existing is treated as being non-split when its RD cost is small according the statistics of the previous frames. The proposed fast algorithm achieves nearly 63% encoding time reduction with 3.42%, 2.80%, and 2.53% BD-Rate loss for Y, U, and V components, averagely. The experimental results show that the proposed method is efficient to fast decide the block partitioning in intra coding of HEVC, even though only static parameters are applied to all test sequences.
As massive open online courses (MOOCs) and online intelligent tutoring systems(ITS) have become increasingly widespread, the number of learners enrolled in online courses has shown explosive growth. However, these lea...
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Efficient imageprocessing can lead to complex algorithms. In resources are limited and the approach of linear algorithm does not allow to decrease complexity regarding the variations of these resources availability. ...
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Efficient imageprocessing can lead to complex algorithms. In resources are limited and the approach of linear algorithm does not allow to decrease complexity regarding the variations of these resources availability. Agents are autonomous entities brought together into systems. They interact between them and with their environment to perform tasks. interactions allow them to share knowledge and capacities in order to adapt themselves to a changing context. In this paper we propose to use Multi-agents systemsalgorithms to perform flexible imageprocessing in an Embedded context. We will introduce our hardware context and the architecture choices made to adapt Multi -agents systems to the Embedded field. We will then present an experiment focusing on pixel interpolation process to study the flexibility of our solution. (C) 2016, IFAC (International Fedaration of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gaine...
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ISBN:
(纸本)9780996452700
With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a lot of attention due to it's invariant property against variation caused by unknown illumination. However, obtaining best performance using multi-spectral imaging is still a challenge due to presence of a modality gap between the spectral imaging data and redundant band information. In this paper, we propose a fused band representation with a set of selected bands represented in Quaternion space for spectral band images to efficiently maintain the inter band relationship in spatial domain. The selection is based on measuring the information content in bands using entropy and fusion is carried out in Quaternion space for three best bands. The features from newly obtained image is collaboratively represented to achieve robust performance. The proposed approach is experimentally validated on the extended multi-spectral face database of 168 subjects, whose spectral band images are captured in 9 narrow spectral bands in visible and near infrared range (530nm to 1000nm). The quantitative performance analysis, obtained using the proposed method indicates 96.13% recognition rate at Rank-1, outperforming other state-of-the-art methods.
In this contribution, a real-time imaging system alongside its processing chain for millimeter wave (mmWave) synthetic aperture radar (SAR) sensors operating at 240 GHz is presented. In addition to real-time capabilit...
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ISBN:
(纸本)9781538617144
In this contribution, a real-time imaging system alongside its processing chain for millimeter wave (mmWave) synthetic aperture radar (SAR) sensors operating at 240 GHz is presented. In addition to real-time capability, the SAR imaging system is manually moved on a linear track without precise stepper motors. Instead, the current position is obtained by a second radar measurement at a far lower frequency with an additional reference target. By this means, the image of the considered scene can be obtained in mere seconds. To allow real-time processing of the measurement data, a signal processing chain based on separate threads is established and further enhanced by using a graphics-processing unit (GPU). Due to the large imaging bandwidth of 50 GHz, the image system can be used to obtain high-resolution sub-surface images of e.g. construction materials.
image annotation is always an easy task for humans but a tough task for machines. Inspired by human's thinking mode, there is an assumption that the computer has double systems. Each of the systems can handle the ...
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ISBN:
(纸本)9781509060689
image annotation is always an easy task for humans but a tough task for machines. Inspired by human's thinking mode, there is an assumption that the computer has double systems. Each of the systems can handle the task individually and in parallel. In this paper, we introduce a new hierarchical model for image annotation, based on constructing a novel, hierarchical tree, which consists of exploring the relationships between the labels and the features used, and dividing labels into several hierarchies for efficient and accurate labeling.
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