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Optimal decomposition of morphological structuring elements

Optimal decomposition of morphological structuring elements

引用

IEEE International conference on image Processing

作者： Hsin-Tai Yang Shie-Jue Lee Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung Taiwan

ISBN: (纸本)0780332598

We propose a method of optimal morphological decomposition. We first formulate this kind of problem into a set of linear constraints, and then find out the solution to the set of linear constraints by using an integer linear programming technique. Our method has the following three advantages: (1) the size of the factors can be any n/spl times/n (n/spl ges/3), (2) it can be applied to both convex and concave simply-connected images; (3) optimality is selective and flexible.

关键词： Concurrent computing Integer linear programming Morphology pattern recognition image edge detection Shape pattern analysis Pipelines Morphological operations Computational efficiency

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Information-based shape description with scale, translation and rotation invariance

Information-based shape description with scale, translation ...

引用

IEEE International conference on image Processing

作者： A. Ghali M.F. Daemi Recognition Engineering Group Department of Computer Science University of Nottingham Nottingham UK

This paper proposes a technique based on information theory principles for shape description of 2-D images. By its essence the technique is invariant to rotation and translation. We first describe how the translational information content of an image may be defined, identified, assessed and analysed. The effect of the size is then assessed and quantified which permits us to propose a modified definition of translational information content invariant to scale. In order to demonstrate the feasibility of the developed techniques, a series of tests were carried out on rectangular and triangular shapes. The results illustrate the power of the translational information assessment techniques in analysing and describing 2-D images. The use of these techniques in shape description is also introduced.

关键词： Shape Pixel Information theory pattern recognition image sensors image analysis Information analysis Computer science Testing Information geometry

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Description of eye figure with small parameters

Description of eye figure with small parameters

引用

IEEE International conference on image Processing

作者： Y. Mukaigawa Y. Ohta Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Japan

The individuality of a human face depends on the fine details of the facial components, and it is necessary to extract and to describe these detailed patterns in order to recognize human faces. We propose a method to describe the eye figure with small parameters by classifying their patterns to typical groups. First, an eye image is divided into parts such as eyelid and inner corner, and a set of 1-dimensional slit projections is obtained from the 2-dimensional intensity array. Then, the principal component analysis is applied to these projections to find the major axes which have typical features. The individuality of each eye is parameterized by the principal component scores. The effectiveness of the description is evaluated by generating sketch images based on the parameters extracted from real eye images.

关键词： Eyelids Humans Shape Principal component analysis image generation Eyes Data mining Face recognition pattern recognition User interfaces

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A method for signature casting on digital images

A method for signature casting on digital images

引用

IEEE International conference on image Processing

作者： I. Pitas Department of Informatics University of Thessaloniki Thessaloniki Greece

Signature (watermark) casting on digital images is an important problem, since it affects many aspects of the information market. We propose a method for casting digital watermarks on images and we analyze its effectiveness. The satisfaction of some basic demands in this area is examined and a method for producing digital watermarks is proposed. Moreover, immunity to subsampling is examined and simulation results are provided for the verification of the above mentioned topics.

关键词： Watermarking Testing Equations Statistical analysis Statistical distributions Gaussian distribution Casting Visual perception pattern recognition Phase detection

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Towards a new framework of the Hough transform

Towards a new framework of the Hough transform

引用

IEEE International conference on image Processing

作者： Zhanyi Hu Song De Ma National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780332598

This paper's main contributions are three-fold. Firstly, it is shown that the two existing template matching-like definitions of the Hough transform proposed by Princen, Illingworth and Kittler (1992) and by Bergen and Shvaytser (1991) are inadequate. The principal reason behind this is that the common implicit assumption of these two definitions, that every feature point within the template associated with a given accumulator cell E/sub 0/ in Hough space votes equally to E/sub 0/, is not reasonable. Secondly, an inherent probabilistic aspect of the Hough transform embedded in the transformation process from the image space to the parameter space is clarified. It is concluded that when the Hough transform is used to detect a pattern, an appropriate curve (surface, if the number of the parameters to be detected is more than 2) density function, which depends on the parameterization of the pattern, must be implicitly or explicitly provided to eliminate the uncertainties resulting from such a probabilistic aspect. Thirdly, a new framework of the Hough transform is proposed which mainly consists of two parts, namely parameterization and associated curve (surface) density function.

关键词： Density functional theory pattern recognition Voting pattern analysis Laboratories Automation pattern matching Uncertainty Computer vision

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Unsupervised detection of straight lines through possibilistic clustering

Unsupervised detection of straight lines through possibilist...

引用

IEEE International conference on image Processing

作者： M. Barni V. Cappellin A. Paoli A. Mecocci Department of Electronic Engineering University of Florence Florence Italy Universita degli Studi di Firenze Firenze Toscana IT Department of Electronic Engineering University of Sienna Siena Italy

The unsupervised detection of an unknown number of straight lines in digital imagery is addressed. Based on possibilistic clustering an algorithm is proposed which does not require any assumption about the number of straight lines present in the edge map. Three major modifications are introduced with respect to existing clustering-based algorithms: the use of possibilistic clustering; a more sophisticated analysis of the clusters, including the possibility of rejecting non linear clusters; a bottom up strategy to evaluate how many straight lines the image contains. The effectiveness of the proposed scheme is proved by validating it against real world imagery.

关键词： Clustering algorithms image edge detection Digital images Algorithm design and analysis Merging Shape Noise robustness image analysis pattern recognition Computer vision

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Template-based image retrieval

Template-based image retrieval

引用

IEEE International conference on image Processing

作者： Bo Tao B. Dickinson Department of Electrical Engineering Princeton University Princeton NJ USA Princeton University Princeton NJ US

A classified hierarchical template matching algorithm is presented in this work. In our system, a template is first classified into one of three classes: texture, edge and low-activity. Then different features are used for each class, thereby achieving a better recognition rate than with the commonly used l/sub 2/ metric. Furthermore, a two-level hierarchical searching algorithm is designed to reduce the amount of computation. The algorithm works in both spatial and DCT domains. It can be applied to image retrieval applications where a user is interested in finding images containing a small pattern.

关键词： image retrieval Discrete cosine transforms image databases Satellites Entropy Algorithm design and analysis Information retrieval Content based retrieval Digital images Database systems

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Maximum segmented-scene spatial entropy thresholding

Maximum segmented-scene spatial entropy thresholding

引用

IEEE International conference on image Processing

作者： C.K. Leung F.K. Lam Department of Ekctronic Engineering Hong Kong Polytechnic University Hong Kong China Department of Electrical & Electronic Engineering University of Hong Kong Hong Kong China

The segmented-scene spatial entropy (SSE) is defined as the amount of information contained in the spatial structure of a segmented scene resulting from segmenting an image. An automatic, nonparametric, unsupervised thresholding algorithm that maximizes the SSE of an image is described, and this algorithm is known as the maximum segmented-scene spatial entropy (MSSE) thresholding algorithm. It is shown that the MSSE-thresholded image contains the maximum amount of information about the original scene and hence good thresholding results are warranted. Simulation and practical results are presented to illustrate the improvement in performance as compared to some other histogram-based thresholding algorithms.

关键词： Entropy image segmentation Pixel Layout Uncertainty Gray-scale Algorithm design and analysis Error correction image processing pattern recognition

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Algorithm for detecting images in defocused scenes using optical correlation

Algorithm for detecting images in defocused scenes using opt...

引用

IEEE International conference on image Processing

作者： A. Carnicer S. Vallmitjana E. Martin-Badosa I. Juvells Laboratori d'Optica Departament de Física Aplicada i Electròtnica Universitat de Barcelona Barcelona Spain

An original method used to detect images in defocused scenes by means of a binary joint transform correlation is presented. The optical transfer function of the imaging lens, which presents positive and negative values, introduces sign errors in the joint power spectrum. The goal of this study is to detect the sign of the optical transfer function starting from the defocused image by means of a digital algorithm, to compensate the sign errors in the binary joint power spectrum and to obtain invariant correlations with respect to defocusing. Theoretical analysis and digital experiments to test the procedure are provided.

关键词： Layout Degradation Equations Transfer functions Optical imaging Correlators Laboratories Lenses Testing pattern recognition

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A NOVEL image COMPRESSION ENCODING

A NOVEL IMAGE COMPRESSION ENCODING

引用

1996 3rd International conference on Signal Processing(ICSP’96)

作者： Jinwen Tian Su kang Jian Liu Qian Gao Institute of Pattern Recognition & AI Huazhong University of Science and Technology

In this paper,we present a new adaptive image compression method based on wavelet transform,bit image compression,fractal iteration and huffman *** method is better than other compression methods which use simple enco... 详细信息

关键词： image compression wavelet analysis fractal Huffman code

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