This paper presents an effort to define a method for evaluation of parallel architectures dedicated to vision. A definition of the benchmark concept, and a characterisation of a standard set of general-purpose vision ...
详细信息
This paper presents an effort to define a method for evaluation of parallel architectures dedicated to vision. A definition of the benchmark concept, and a characterisation of a standard set of general-purpose vision algorithms which could constitue a benchmark are proposed. These algorithms are independent of machine architecture, environments, programming models and parallelisation techniques supported. A detailed example illustrating the proposed approach is given.
In this paper, we evaluate and investigate two main types of relevance feedback algorithms;the Euclidean and the correlation-based approaches. In the first case, we examine heuristic and optimal techniques, which expl...
详细信息
ISBN:
(纸本)0780377508
In this paper, we evaluate and investigate two main types of relevance feedback algorithms;the Euclidean and the correlation-based approaches. In the first case, we examine heuristic and optimal techniques, which exploit either on the weighted or the generalized Euclidean distance. In the second type, two different ways for parametrizing the cross-correlation similarity metric are proposed. The first scales only the elements of the query feature vector, while the second scales both the query and the selected samples. All the examined algorithms are evaluated using objective criteria, such as the precision -recall curve and the average normalized modified retrieval rank (ANMRR). Discussions and comparisons of all the aforementioned relevance feedback algorithms are presented.
This work proposes the use of Genetic algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color information, a fitness function based on card...
详细信息
ISBN:
(纸本)9781728175393
This work proposes the use of Genetic algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color information, a fitness function based on cardioids, and GA. This is the first work in the literature to propose a Region of Interest (ROI) extraction based on GA and cariods. ROI extraction can improve the accuracy of cancer detection and assist with the standardization of acquisition protocols. The method is able to successfully separate the breast region in 52 out of 58 images, while being fully automatic, and not requiring manual selection of seed points.
Linear imageprocessingalgorithms have received considerable attention during the last several decades. These algorithms are attractive in many applications as they are easy to analyze and computationally less intens...
详细信息
Shape representation is an important image analysis task which can be used for contour coding and feature extraction. The morphological skeleton is a geometrical shape description by means of maximal inscribed structu...
详细信息
ISBN:
(纸本)0780331222
Shape representation is an important image analysis task which can be used for contour coding and feature extraction. The morphological skeleton is a geometrical shape description by means of maximal inscribed structuring elements. The form of the structuring element is usually chosen a priori, and we show how genetic algorithms can be used for an automatic optimization of an arbitrary shaped structuring element. It permits improved progressive contour transmission and the extraction of shape features.
This paper examines the effectiveness of load balancing strategies for ray tracing on large parallel computer systems and cluster computers. Popular static load balancing strategies are shown to be inadequate for rend...
详细信息
This paper examines the effectiveness of load balancing strategies for ray tracing on large parallel computer systems and cluster computers. Popular static load balancing strategies are shown to be inadequate for rendering complex images with contemporary ray tracing algorithms, and for rendering NTSC resolution images on 128 or more computers. Strategies based on image tiling are shown to be ineffective except on very small numbers of computers. A dynamic load balancing strategy, based on a diffusion model, is applied to a parallel Monte Carlo rendering system. The diffusive strategy is shown to remedy the defects of the static strategies. A hybrid strategy that combines static and dynamic approaches produces nearly optimal performance on a variety of images and computer systems. The theoretical results should be relevant to other rendering and imageprocessing applications.
Lane detection plays a crucial role for Advanced Driver Assitance System (ADAS) or autonomous driving applications. Literature shows a lot of lane detection algorithms can work in real time with good results. However,...
详细信息
ISBN:
(纸本)9781479983391
Lane detection plays a crucial role for Advanced Driver Assitance System (ADAS) or autonomous driving applications. Literature shows a lot of lane detection algorithms can work in real time with good results. However, they require much computer processing and cannot be embedded in a vehicle ECU without deep software optimizations. In this paper, we discuss the embeddability of lane detection algorithms by comparing state-of-the-art algorithms in terms of functional performance and computational timing. We identify what essential parts of lane detection are time consuming, and show these parts can be computed in real time on embedded systems.
In this paper we present optimized algorithms for image deblurring in the case of a separable Point Spread Function (PSF). Our work is in the usual context of Bayesian estimation with Gibbs Random Fields (GRF). The de...
详细信息
ISBN:
(纸本)0780332598
In this paper we present optimized algorithms for image deblurring in the case of a separable Point Spread Function (PSF). Our work is in the usual context of Bayesian estimation with Gibbs Random Fields (GRF). The derived algorithms fall into the class of Single Site Update algorithms (SSUAs), which exhibit a high convergence rate per iteration [1] and small memory requirements, while hard domain constraints such as positivity are easily introduced. On the other hand, standard forms of SSUAs rapidly become intractable when the size of the PSF is large. In the present study, we show how PSF separability can benefit SSUAs, in order to reduce the cost of each pixel update from O(2pq) to O(p + q) (p × q is the size of the PSF). We show that the resulting deterministic SSUA compares very favorably with Global Update algorithms (GUAs). The new separable form can also benefit other SSUAs, especially stochastic versions such as Simulated Annealing (SA) and Monte Carlo Markov Chain (MCMC) algorithms.
In the dental field, the 3D tooth model in which each tooth can be manipulated individually is an essential component for the simulation of orthodontic surgery and treatment. To reconstruct such a tooth model from CT ...
详细信息
ISBN:
(纸本)0819452017
In the dental field, the 3D tooth model in which each tooth can be manipulated individually is an essential component for the simulation of orthodontic surgery and treatment. To reconstruct such a tooth model from CT slices, we need to define the accurate boundary of each tooth from CT slices. However, the global threshold method.. which is commonly used in most existing 3D reconstruction systems, is not effective for the tooth segmentation in the CT image. In tooth CT slices, some teeth touch with other teeth and some are located inside of alveolar bone whose intensity is similar to that of teeth. In this paper, we propose an image segmentation algorithm based on B-spline curve fitting to produce smooth tooth regions from such CT slices. The proposed algorithm prevents the malfitting problem of the B-spline algorithm by providing accurate initial tooth boundary for the fitting process. This paper proposes an optimal threshold scheme using the intensity and shape information passed by previous slice for the initial boundary generation and an efficient B-spline fitting method based on genetic algorithm. The test result shows that the proposed method detects contour of the individual tooth successfully and can produce a smooth and accurate 3D tooth model for the simulation of orthodontic surgery and treatment.
Cloud-based data processing latency mainly depends on the transmission delay of data to the cloud and the used data processing algorithm. To minimize the transmission delay, it is important to compress the transferred...
详细信息
ISBN:
(纸本)9798350399462
Cloud-based data processing latency mainly depends on the transmission delay of data to the cloud and the used data processing algorithm. To minimize the transmission delay, it is important to compress the transferred data without reducing the quality of the data. When using data compression algorithms, it is important to validate the impact of these algorithms on the detection quality. This work evaluates the effects of image compression and transmission over wireless interfaces on state of the art neural networks. Therefore, a modern imageprocessing platform for next generation automotive processing architectures, as used in software defined vehicles, is introduced. The impacts of different image encoders as well as data transmission parameters are investigated and discussed.
暂无评论