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In this chapter, we adopt user-defined salient image features as training examples for a specially designed model-based neural network to perform feature detection. Specifically, we have investigated an alternative MBNN with hierarchical architecture [48, 62, 128] which is capable of learning user-specified features through an interactive process. It will be shown that this network is capable of generalizing from the set of specified...
25 p dtu 01/11/2012 168 1
Từ khóa: Edge Detection Using Model-Based Neural Networks, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
Adaptive image processing a computational intelligence perspective - Blind Image Deconvolution
We will again restrict the presentation of this chapter to the popular linear image degradation model: g = Hˆ + n f (7.1) where g, f and n are the lexicographically ordered degraded image, original image and additive white Gaussian noise (AWGN), respectively [21, 145]. H is the linear distortion operator determined by the point spread function (PSF), h. Blind image deconvolution is an inverse problem of rendering the best estimates, ˆ and h,...
46 p dtu 01/11/2012 163 1
Từ khóa: Blind Image Deconvolution, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In this chapter, we propose an alternative solution to the problem of adaptive regularization by adopting a new global cost measure. It was previously seen that the newly formulated ETC measure is capable of distinguishing between the textures and edges in an image. It is further observed in this chapter that the distribution function of this measure value in a typical image assumes a characteristic shape, which is comparatively invariant...
28 p dtu 01/11/2012 183 1
Từ khóa: Adaptive Regularization Using Evolutionary Computation, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In this chapter, we introduce the technique of model-based neural networks, which is to be applied to our problem of adaptive regularization in image restoration. Instead of adopting the general neural network architecture introduced in Chapter 1 for our adaptive image processing applications, we propose the use of modular model-based neural network for our purpose. We used the term “modelbased” in the sense of Caelli et al. [62], where...
45 p dtu 01/11/2012 184 1
Từ khóa: Model-Based Adaptive Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In Chapter 3, we mentioned the problems caused by considering the image to be an ensemble of stationary processes. Any restoration process based on this concept can only ever produce sub-optimal results. However, there is another consideration. When a restoration algorithm is designed with the aim of creating an image which will be more pleasing to the human eye, we must incorporate some kind of model of the human visual system. At the basis...
26 p dtu 01/11/2012 176 1
Từ khóa: Perceptually Motivated Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In the previous chapter, it was seen that as long as the weights of the network remain constant from iteration to iteration, Algorithm 2.3 will converge. This result holds regardless of whether the weights of the network vary from pixel to pixel across the image to be restored. We will refer to this type of variation of the weights from region to region in the image as spatial variation. The analysis in the previous chapter focused solely on...
44 p dtu 01/11/2012 158 1
Từ khóa: Spatially Adaptive Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
Adaptive image processing a computational intelligence perspective
In this book, we consider the application of computational intelligence techniques to the problem of adaptive image processing. In adaptive image processing, it is usually required to identify each image pixel with a particular feature type (eg., smooth regions, edges, textures, etc.) for separate processing, which constitutes a segmentation problem. We will then establish image models to describe the desired appearance of the respective...
44 p dtu 01/11/2012 184 1
Từ khóa: Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng,
Database management systems have become ubiquitous as a fundamental tool for managing information, and a course on the principles and practice of database systems is now an integral part of computer science curricula. This book covers the fundamentals of modern database management systems, in particular relational database systems. It is intended as a text for an introductory database course for undergraduates, and we have attempted to present...
931 p dtu 11/10/2012 186 1
Từ khóa: Database management systems, managing information, computer science, Database management systems, cơ sở dữ liệu, hệ quản trị cơ sở dữ liệu
TCP/IP is a result of protocol research and development conducted on the experimental packetswitched network, ARPANET, funded by the Defense Advanced Research Projects Agency (DARPA), and is generally referred to as the TCP/IP protocol suite. This protocol suite consists of a large collection of protocols that have been issued as Internet standards by the Internet Activities Board (IAB). A document at this book's Web site provides a...
14 p dtu 01/10/2012 198 1
Từ khóa: APPENDIIX H TCP//IIP and OSII, Internet standards, computer systems, kỹ thuật máy tính, phần mềm ứng dụng, exchange of data
APPENDIIX F The Knapsack Allgorriitthm
The most famous of the fallen contenders is the trapdoor knapsack proposed by Ralph Merkle [MERK78]. The knapsack problem deals with determining which objects are in a container, such as a knapsack. A simple example is shown if Figure F.1 [HELL78]. The knapsack is filled with a subset of the items shown, whose weights in grams are indicated. Given the weight of the filled knapsack, 1156 grams, the problem is to determine which of the items are...
9 p dtu 01/10/2012 154 1
Từ khóa: APPENDIIX F The Knapsack Allgorriitthm, computationally formidable, ứng dụng máy tính, kỹ thuật máy tính, phần mềm ứng dụng, phần mềm crack
Pattern Detection with Rare Itemset Mining
he discovery of new and interesting patterns in large datasets, known as data mining, draws more and more interest as the quantities of available data are exploding. Data mining techniques may be applied to different domains and fields such as computer science, health sector, insurances, homeland security, banking and finance, etc. In this paper we are interested by the discovery of a specific category of patterns, known as rare and...
17 p dtu 28/09/2012 245 1
Từ khóa: Computer Science, artificial software, application software, Software Engineering, soft Computing Artificial Intelligence and applications
Formal Concept Analysis Based Association Rules Extraction
Generating a huge number of association rules reduces their utility in the decision making process, done by domain experts. In this context, based on the theory of Formal Concept Analysis, we propose to extend the notion of Formal Concept through the generalization of the notion of itemset in order to consider the itemset as an intent, its support as the cardinality of the extent and its relevance which is related to the confidence of rule....
8 p dtu 28/09/2012 231 1
Từ khóa: Computer Science, Computer Science issues, Formal Concept Analysis Based Association Rules Extraction, domain experts, Formal Concept Analysis, association rules, Generating a huge number of association rules