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检索条件"任意字段=Conference on Image Algebra and Morphological Image Processing V"

共 655 条记录，以下是41-50 订阅

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The "two steps" skeleton - A new morphological algorithm for image representation

The "two steps" skeleton - A new morphological algorithm for...

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image processing, image Quality, image Capture and Systems conference (PICS2001)

作者： vizireanu, ND Pirnog, C Lazarescu, v vizirenu, A Univ Politehn Bucharest Romania

ISBN: (纸本)0892082321

This paper addresses the representation of binary images by means of mathematical morphology, a relatively new nonlinear theory for image processing, based on set theory. It considers images as sets (instead of vectors, as in the classical linear image processing), which permits geometry-oriented transformations of the images. The new image representation described in this work, called "two steps" skeleton representation, is a natural extension of the morphological skeleton. This article will present the theoretical background of the morphological image representation, deduce the new representation and show some application examples. In the end, the possibility of generalizing the "two steps" skeleton representation for multi-dimensional images will be analyzed, to extend the scope of its algebraic characteristics as much as possible. The applications of the "two steps" skeleton representation that are presented will be illustrated by computer simulations.

关键词： Color image processing

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image algebra and morphological image processing III

Image Algebra and Morphological Image Processing III

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image algebra and morphological image processing III

This conference proceedings contains 36 papers. The topics covered are: prbabilistic and fuzzy methods;automated algorithm development;applications and implementations;theoretical advances;and, representation.

ISBN: (纸本)0819409421

关键词： image processing

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image enhancement by morphological pyramid decomposition and modified reconstruction

Image enhancement by morphological pyramid decomposition and...

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1997 IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP 97)

作者： Floreby, L Sattar, F Salomonsson, G Lund Univ Lund Sweden

ISBN: (纸本)0818679204

An algorithm for multiresolution pyramid decomposition is described. At each stage, the smoothed (''lowpass'') image is obtained by combining morphological grayscale opening and closing. Using this technique, we avoid the systematic bias of traditional approaches, as illustrated by an example. As our application, we perform image enhancement by modifying the reconstruction scheme using a morphological edge detector. The processing scheme offers a method for edge-preserving noise (speckle) suppression, in which only a minor number of multiplications is required.

关键词： image enhancement

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Associative morphological memories for endmember determination in spectral unmixing

Associative morphological memories for endmember determinati...

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12th IEEE International conference on Fuzzy Systems

作者： Graña, M Sussner, P Ritter, G Univ Basque Country Dept CCIA San Sebastian Spain

ISBN: (纸本)0780378105

Autoassociative morphological Memories (AMM) are a construct similar to Hopfield Autoassociative Memories defined on the (R, +, v, A) lattice algebra. Unlimited storage and perfect recall of noiseless real valued patterns has been proved for AMM's. However AMM's suffer from sensitivity to specific noise models, that can be characterized as erosive and dilative noise. On the other hand, Spectral Unmixing of Hyperspectral images needs the prior definition of a set of Endmembers, which correspond to material spectra lying on vertices of the minimum convex region covering the image data. These vertices can be characterized as morphologically independent patterns. We present a procedure based on the AMM noise sensitivity for Endmember detection based on this characterization.

关键词： image processing

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Automatic Number Plate Recognition system using modified Stroke Width Transform

Automatic Number Plate Recognition system using modified Str...

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4th National conference on Computer vision, Pattern Recognition, image processing and Graphics (NCvPRIPG)

作者： Jobin, K. v. Jiji, C. v. Anurenjan, P. R. Coll Engn Trivandrum Trivandrum Kerala India

ISBN: (纸本)9781479915880

Automatic number plate recognition(ANPR) techniques occupy a significant role in intelligent traffic management systems. Most of the existing ANPR systems do not perform well under conditions like high vehicle speed, varying illuminations, changing back ground etc. In this paper we propose an ANPR technique which efficiently solves the above issues using the stroke width transform. In our method, first we pre-process the image to remove blurring artifacts. Then the significant edges in the image are detected and a new image is formed by grouping the connecting rays. This is followed by morphological processing which detects the letters in the image. Then an appropriate Optical Character Recognizer (OCR) recovers the final result. Experimental results show that the proposed method work effectively under varying light conditions and even in the presence of shadows.

关键词： Intelligent traffic management system License plates edge image morphological processing imagery (Psychotherapy) images vehicle speed shadows letter recognition system image Transform Advanced traffic management systems(ATMS) passenger transportation management system Stroke

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Comparison of Standard Edge Detection Techniques Along with morphological processing and Pseudo Coloring in Sonar image 1

Comparison of Standard Edge Detection Techniques Along with ...

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1st International conference on Emerging Trends in Engineering, Technology and Science (ICETETS)

作者： Anitha, U. Malarkkan, S. Premalatha, J. Manonmani, v. Sathyabama Univ Fac Elect Dept Elect & Control Madras Tamil Nadu India Manakula Vinayagar Inst Technol Pondicherry India

ISBN: (纸本)9781467367257

Object recognition and texture identification are the two main application of sonar image processing. It consists of 3 main steps such as image segmentation, object recognition and pattern identification. Before all these steps, some of the preprocessing procedure are included such as filtering of noise, edge detection etc. Many edge detection operators are available and also a mathematical modeling called morphological processing is also very useful for edge detection. Color images generally have more visual perception over gray scale and monochrome images. Therefore in this paper the standard edge detection techniques along with the morphological processing are carried out. Comparison of the result along with the pseudo colored image proves that the morphological processing along with edge detection techniques gives more information than another one. Subjective analysis tells that, this approach mainly useful for the sonar image objects consist of larger shadow regions.

关键词： sonar image edge detection morphological processing pseudo coloring

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Optical morphological hit-or-miss transform for pattern recognition of gray-scale image

Optical morphological hit-or-miss transform for pattern reco...

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Hybrid image and Signal processing v conference

作者： Yuan, SF Wu, MX Cheng, G Jin, GF TSING HUA UNIV DEPT PRECIS INSTRUMENTSBEIJING 100084PEOPLES R CHINA

ISBN: (纸本)0819421324

A novel scheme for implementing gray scale image hit-or-miss transform (HMT) in one optical step with only one optical correlator is presented. This scheme uses area- complementary-encoding to represent each pixel of gray scale images. Using an incoherent optical correlator to optically perform correlation and a microcomputer to perform nonlinear thresholding electrically, the area-complementary-encoding gray scale image HMT is realized for auto target recognition.

关键词： hit-or-miss transform optical morphological processor area-complementary-encoding optical pattern recognition gray-scale image processing

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A Novel Approach for the Analysis of US images Using morphological image processing Techniques 2

A Novel Approach for the Analysis of US Images Using Morphol...

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2nd International conference on Computing for Sustainable Global Development (INDIACom)

作者： Mehta, Neha Prasad, S. v. A. v. Arya, Leena Pant, Millie Lingayas Univ Faridabad Haryana India ECE Dept Greater Noida UP India IIT Dept Appl Sci & Engn Roorkee Uttar Pradesh India

ISBN: (纸本)9789380544168

This paper presents the approach to analyze the ultrasound images of the patients suffering from Cholelithiasis. The occurrence of Cholelithiasis is the commonest biliary disease to be reported in India. Our research is aimed to apply the potential of image processing in diagnosing the presence of gall bladder stones. In this paper we propose a technique, a combination of preprocessing morphological techniques and Entropy calculation of the pixels representing gallstones in the gall bladder.

关键词： Cholelithiasis entropy calculation image processing morphological techniques preprocessing

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STATISTICAL MORPHOLOGY 4

STATISTICAL MORPHOLOGY

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4TH CONF ON image algebra AND morphological image processing

作者： HARALICK, RM DOUGHERTY, E HA, J KANUNGO, T KARASU, S LEE, CK RYSTROM, L RAMESH, v PHILLIPS, I Univ. of Washington (United States) Rochester Institute of Technology (United States)

ISBN: (纸本)0819412791

Statistical Morphology is concerned with the statistical characterization of the four morphological operations — dilation, erosion, opening and closing. By statistical characterization of a morphological operator we mean the statistical characterization of the output in terms of the statistical characteristics of the input. Characterization of operators allows us to predict the characteristics of the output of an algorithm composed of a sequence of morphological operations in terms of the statistical characteristics of the input and the sequence of morphological operators used. Furthermore, such statistical analyses of morphological algorithms is necessary for evaluating the algorithm's performance. In this paper we describe what we have learned about one way to characterize the dilation and opening morphological operators in a one dimensional setting. That is, the input to each of these operators is assumed to be binary one-dimensional. The input is modeled as a union of randomly translated discrete lines of a fixed length. The line segments can overlap and result in line segments of various lengths. Thus the final output appears as an unordered pattern of lines and gaps of various lengths. This input is characterized by giving its line and gap length distribution and the distribution of the number of line and gap segments of various lengths. The characterization of a morphological operator, therefore, entails a similar characterization of the output. There has been a recent interest in the area of statistical morphology and some results have been published in the literature. Morales and Acharya {MA92} analyzed the statistical characteristics of a morphological opening on grayscale signals perturbed by Gaussian noise. Stevenson and Arce {SA92] studied the effects of opening for a class of structuring elements. Atola, Koskinen and Neuvo [ALN93] studied the output distributions of one dimensional grayscale filtering. Costa and Haralick {CH92} came up with an empirica

关键词： Process modeling Lithium Binary data image segmentation Imaging systems Intelligence systems Interference (communication) Statistical analysis Coastal modeling Electrical engineering

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Thinning Algorithm Using Hypergraph Based morphological Operators 5

Thinning Algorithm Using Hypergraph Based Morphological Oper...

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IEEE International Advance Computing conference (IACC 2015)

作者： Prakash, R. P. Prakash, Keerthana S. Binu, v. P. Coll Engn Comp Sci & Engn Karunagappally India

ISBN: (纸本)9781479980475

The object recognition is a complex problem in the image processing. Mathematical morphology is Shape oriented operations, that simplify image data, preserving their essential shape characteristics and eliminating irrelevancies. This paper briefly describes morphological operators using hypergraph and its applications for thinning algorithms. The morphological operators using hypergraph method is used to preventing errors and irregularities in skeleton, and is an important step recognizing line objects. The morphological operators using hypergraph such as dilation, erosion, opening, closing is a novel approach in image processing and it act as a filter remove the noise and errors in the images.

关键词： Mathematical morphology hypergraph thinning skeleton

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