Intelligent algorithm is simulated biological theory of intelligent systems constitute a new type of information processing technology, has been widely used in industrial engineering, information processing and other ...
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ISBN:
(纸本)9783642293894
Intelligent algorithm is simulated biological theory of intelligent systems constitute a new type of information processing technology, has been widely used in industrial engineering, information processing and other fields. In recent years, in the field of imageprocessing and analysis. intelligent algorithms are also widely used technology. In this paper, intelligent algorithm technique in medical image segmentation, image registration and the application of computer-aided technology and research are reviewed, representative described techniques and algorithms.
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...
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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...
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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.
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...
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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.
The medical automatic annotation task issued by the cross language evaluation forum (CLEF) aims at a fair comparison of state-of-the art algorithms for medical content-based image retrieval (CBIR). The contribution of...
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The medical automatic annotation task issued by the cross language evaluation forum (CLEF) aims at a fair comparison of state-of-the art algorithms for medical content-based image retrieval (CBIR). The contribution of this work is twofold: at first, a logical decomposition of the CBIR task is presented, and key elements to support the relevant steps are identified: (i) implementation of algorithms for feature extraction, feature comparison, and classifier combination, (ii) visualization of extracted features and retrieval results, (iii) generic evaluation of retrieval algorithms, and (iv) optimization of the parameters for the retrieval algorithms and their combination. Data structures and tools to address these key elements are integrated into an existing framework for image retrieval in medical applications (IRMA). Secondly, baseline results for the CLEF annotation tasks 2005-2007 are provided applying the IRMA framework, where global features and corresponding distance measures are combined within a nearest neighbor approach. Using identical classifier parameters and combination weights for each year shows that the task difficulty decreases over the years. The declining rank of the baseline submission also indicates the overall advances in CBIR concepts. Furthermore, a rough comparison between participants who submitted in only one of the years becomes possible. (C) 2008 Elsevier B.V. All rights reserved.
This paper presents an object oriented language, called EIKONES, for efficient and flexible imageprocessing. The ElKONES language provides to the user flexibility and friendliness for imageprocessing which are not a...
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ISBN:
(纸本)078034054X
This paper presents an object oriented language, called EIKONES, for efficient and flexible imageprocessing. The ElKONES language provides to the user flexibility and friendliness for imageprocessing which are not available in other imageprocessing tools. The basic idea behind EIKONES is the consideration of the imageprocessingalgorithms as objects and the appropriate development of a formal grammar for its actual implementation. Results are provided by using the EIKONES language.
A challenge in applying imageprocessingalgorithms to scientific data is the variation within and across images in a data set. This makes it difficult to select parameters for the algorithms, especially when the data...
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ISBN:
(纸本)9781728143002
A challenge in applying imageprocessingalgorithms to scientific data is the variation within and across images in a data set. This makes it difficult to select parameters for the algorithms, especially when the data set is large and the variation is unknown. Using the task of segmentation of retinal images, we discuss the challenges that arise in selecting parameters for even a relatively simple algorithm. We show that the availability of ground truth results could make the identification of parameters subjective and propose a simple idea that could benefit the selection of a single parameter.
This paper presents an overview of low level parallel imageprocessingalgorithms and their implementation for active vision systems. Authors have demonstrated novel low level imageprocessingalgorithms for point ope...
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ISBN:
(纸本)9781424429271
This paper presents an overview of low level parallel imageprocessingalgorithms and their implementation for active vision systems. Authors have demonstrated novel low level imageprocessingalgorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated Using Parallel Computing Toolbox (TM) (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session
Perceptual grouping is a key step in vision to organize image data into structural hypotheses to be used for high level analysis. In this paper, we propose data allocation and load balancing strategies which reduce th...
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The design of sensing and control systems for two-dimensional industrial processes such as paper making, plastic film extrusion and metal rolling, has drawn extensively upon concepts from two-dimensional signal proces...
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The design of sensing and control systems for two-dimensional industrial processes such as paper making, plastic film extrusion and metal rolling, has drawn extensively upon concepts from two-dimensional signal processing and imageprocessing. The performance of two-dimensional control systems is discussed in terms of spatial and dynamic bandwidths and is illustrated by examples from the control of cross-directional variations on a plastic film extrusion line. By relating these bandwidths to the specification of the required quality of the finished film and typical disturbances that enter the process, specifications are developed for the design of the actuators, the sensing system and the control algorithm. It is shown that the current generation of control systems is not suitable for controlling variations over small areas of sheet, but a system which regulates over much smaller areas could be developed using recent developments in sensors and two-dimensional control algorithms. (C) 2001 SPIE and IS&T.
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