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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11-20 订阅

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image algebra NETWORKS FOR PATTERN-CLASSIFICATION 5

IMAGE ALGEBRA NETWORKS FOR PATTERN-CLASSIFICATION

引用

conference on image algebra and morphological image processing v

作者： GADER, PD WON, YW KHABOU, MA UNIV MISSOURI DEPT ELECT & COMP ENGNCOLUMBIAMO 65211

ISBN: (纸本)081941624X

A neural network structure that learns feature extraction and classification operations simultaneously is described. The feature extraction operations are represented using generalized image algebra operations. Learning rules are described. Linear operations and nonlinear, hit-or-miss operations are used to perform handwritten digit recognition.

关键词： Feature extraction Neural networks image classification Binary data Algorithm development Detection and tracking algorithms Electroluminescence Evolutionary algorithms Pattern recognition Structural design

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AN INTERPRETIvE PROGRAMMING LANGUAGE FOR image algebra 5

AN INTERPRETIVE PROGRAMMING LANGUAGE FOR IMAGE ALGEBRA

引用

conference on image algebra and morphological image processing v

作者： WEEKS, AR MYLER, HR CINCI, LD UNIV CENT FLORIDA DEPT ELECT & COMP ENGNORLANDOFL 32816

ISBN: (纸本)081941624X

image algebra (IA) was developed to provide a standard mathematical means of describing image processing algorithms. The goal of IA was to reduce the amount of programming code required in implementing an image processing algorithm. IA has been successful in expressing many linear and nonlinear image processing algorithms in a short and concise manner using a basic set of operators. When placed in a programming environment, IA enables the programmer to write image processing algorithms at a high level of abstraction and with a high degree of readability. IA functions have been developed for several programming languages such as ADA, FORTRAN, and C either as an external library or as a preprocessor. The IA programming implementation presented (Basic image algebra Interpreter: BlAT) here was designed and built around the direct implementation of the IA operators providing a means of adding functions directly related to IA to the programming language. For example, image and template data types were added to the language allowing for the manipulation of images without the concern of defining the data structure prior to its use. Several of the key issues in designing the programming language will be presented, along with several image processing algorithm examples comparing a standard C language implementation to the Basic image algebra Interpreted language implementation. © 1994 SPIE.

关键词： image algebra image processing image ENHANCEMENT

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image COMPRESSION USING MULTIRESOLUTION morphological DECOMPOSITION 5

IMAGE COMPRESSION USING MULTIRESOLUTION MORPHOLOGICAL DECOMP...

引用

conference on image algebra and morphological image processing v

作者： HSU, CH KUO, CCJ UNIV SO CALIF INST SIGNAL & IMAGE PROCDEPT ELECT ENGN SYSTLOS ANGELESCA 90089

ISBN: (纸本)081941624X

Multiresolution image decomposition based on nonlinear filtering has received a lot of attention recently. In this research, we investigate the coding issue for one class of nonlinear multiresolution image decomposition based on mathematical morphology. We consider the use of opening and closing operations with a flat structure element to achieve image decomposition. The entropy and histogram of the difference images in the image pyramid are then examined. We give a numerical example to demonstrate potential advantages of the morphological filtering approach over the conventional linear filtering approach in the context of image coding. However, we also point out difficulties encountered in our study that have to be overcome before the method can be practically used.

关键词： MULTIRESOLUTION morphological DECOMPOSITION image COMPRESSION

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ADAPTIvE RESONANCE THEORY AND SELF-ORGANIZING morphological KERNELS 5

ADAPTIVE RESONANCE THEORY AND SELF-ORGANIZING MORPHOLOGICAL ...

引用

conference on image algebra and morphological image processing v

作者： SHARPE, JP SUNGAR, N JOHNSON, KM UNIV COLORADO CTR OPTOELECTR COMP SYSTBOULDERCO 80309

ISBN: (纸本)081941624X

In this paper we describe our recent work developing automated methods for generation of kernels or structuring elements for use in the hit-or-miss transform. We show how a neural network algorithm (Fuzzy Adaptive Resonance Theory) generates hit and miss structuring elements that can be used with a fuzzy morphology to detect a class of objects and we illustrate with computer simulations.

关键词： image processing image MORPHOLOGY FUZZY SETS NEURAL NETWORKS

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ROBUST MODEL-BASED image-RESTORATION UNDER STRUCTURAL CONSTRAINTS 5

ROBUST MODEL-BASED IMAGE-RESTORATION UNDER STRUCTURAL CONSTR...

引用

conference on image algebra and morphological image processing v

作者： KARCZEWICZ, M GABBOUJ, M TAMPERE UNIV TECHNOL SIGNAL PROC LABSF-33101 TAMPEREFINLAND

ISBN: (纸本)081941624X

New criteria for shape preservation are presented. These criteria are applied in optimizing soft morphological filters. The filters are optimized by simulated annealing and genetic algorithms which are briefly reviewed. A situation where the given criteria give better results compared to the traditional MAE and MSE criteria is illustrated.

关键词： ROBUST REGRESSION image MODELING STRUCTURAL CONSTRAINTS

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FUZZY image algebra NEURAL NETWORKS FOR TARGET CLASSIFICATION 5

FUZZY IMAGE ALGEBRA NEURAL NETWORKS FOR TARGET CLASSIFICATIO...

引用

conference on image algebra and morphological image processing v

作者： SRIvASTAvA, R DAvIDSON, JL IOWA STATE UNIV SCI & TECHNOL DEPT ELECT ENGNAMESIA 50011

ISBN: (纸本)081941624X

This paper presents a neural network application to target classification using a new type of neural network called the Fuzzy image algebra Neural Network (FIANN). The FIANN is used in a heterogenous network structure. The first layer of the net performs feature extraction, while the remaining layers are used for classification. Generalized image algebra operations are used to obtain fuzzy morphological or linear operation. The parameters for the generalized operations are learned in a fashion similar to standard backpropagation, but with training rules based on a combination of stochastic learning and gradient descent techniques. The type of data used is the range data part of tank LADAR data. The objective is to classify the tanks by type. The range data is first converted to elevation data, which is input to the net for feature extraction and classification. A two tiered approach is used for training. The first layer learns image features, while the top layers perform classification.

关键词： image algebra NEURAL NETWORKS AUTOMATIC TARGET RECOGNITION

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image-algebraIC DESIGN OF MULTISPECTRAL TARGET RECOGNITION ALGORITHMS 5

IMAGE-ALGEBRAIC DESIGN OF MULTISPECTRAL TARGET RECOGNITION A...

引用

conference on image algebra and morphological image processing v

作者： SCHMALZ, MS RITTER, GX UNIV FLORIDA DEPT COMP & INFORMAT SCIGAINESVILLEFL 32611

ISBN: (纸本)081941624X

In this paper, we discuss methods for multispectral ATR (Automated Target Recognition) of small targets that are sensed under suboptimal conditions, such as haze, smoke, and low light levels. In particular, we discuss our ongoing development of algorithms and software that effect intelligent object recognition by selecting ATR filter parameters according to ambient conditions. Our algorithms are expressed in terms of IA (image algebra), a concise, rigorous notation that unifies linear and nonlinear mathematics in the image processing domain. IA has been implemented on a variety of parallel computers, with preprocessors available for the Ada and FORTRAN languages. An image algebra C++ class library has recently been made available. Thus, our algorithms are both feasible implementationally and portable to numerous machines. Analyses emphasize the aspects of image algebra that aid the design of multispectral vision algorithms, such as parameterized templates that facilitate the flexible specification of ATR filters.

关键词： Cameras Detection and tracking algorithms Automatic target recognition Target detection Reflectivity Optical filters Multispectral imaging Target recognition image processing Sensors

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PROPERTIES OF image SEQUENCES GENERATED THROUGH OPENING RESIDUALS 5

PROPERTIES OF IMAGE SEQUENCES GENERATED THROUGH OPENING RESI...

引用

conference on image algebra and morphological image processing v

作者： PETERS, RA NICHOLS, JA VANDERBILT UNIV DEPT ELECT ENGNNASHVILLETN 37235

ISBN: (纸本)081941624X

This paper states and proves a number of properties of the tophat and the tophat spectrum. These include: the tophat is antiextensive and idempotent (but not increasing); each image in the tophat spectrum is size-limited and open; the structuring element family need not be mutually open to generate a tophat spectrum; if the SE family is mutually open, and the original image is binary, each image in the tophat spectrum includes the open part of the corresponding image from the opening spectrum; and, the tophat spectrum is identical to the opening spectrum created with a family of flat, 1D structuring elements.

关键词： NONLINEAR image processing MATHEMATICAL MORPHOLOGY GRANULOMETRIES OPENING SPECTRUM OPENING RESIDUAL TOPHAT TOPHAT TRANSFORM TOPHAT SPECTRUM

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FAST OPENING FUNCTIONS AND morphological GRANULOMETRIES 5

FAST OPENING FUNCTIONS AND MORPHOLOGICAL GRANULOMETRIES

引用

conference on image algebra and morphological image processing v

作者： vINCENT, L XEROX IMAGING SYST PEABODYMA 01960

ISBN: (纸本)081941624X

In this paper, a comprehensive set of fast algorithms for computing granulometries in binary images is first proposed: linear granulometries (i.e., granulometries based on openings with line segments) constitute the easiest case, and are computed using image `run-length'. The 2D case (granulometries with square or `diamond'-shaped structuring elements, or granulometries with unions of line-segments at different orientations) involves the determination of opening functions or granulometry functions. The grayscale case is then addressed, and a new algorithm for computing grayscale linear granulometries is introduced. This algorithm is orders of magnitude faster than any previously available technique. The techniques introduced in this paper open up a new range of applications for granulometries, examples of which are described in the paper.

关键词： Binary data image segmentation image processing algorithms and systems Diamond Algorithm development image analysis image processing Feature extraction Lanthanum Raster graphics

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A SPECIAL-CLASS OF NONLOCAL image-TEMPLATE OPERATIONS 5

A SPECIAL-CLASS OF NONLOCAL IMAGE-TEMPLATE OPERATIONS

引用

conference on image algebra and morphological image processing v

作者： SHI, HC RITTER, GX UNIV FLORIDA CTR COMP VIS & VISUALIZATGAINESVILLEFL 32611

ISBN: (纸本)081941624X

The most powerful tools of image algebra in terms of image processing are image-template operations. An imagetemplate operation can be classified as a local operation or a nonlocal operation. For local image-template operations, we have an efficient parallel implementation. However, there seems to be no efficient way to map general nonlocal imagetemplate operations onto parallel architectures, since the communication patterns involved with nonlocal operations are very complex in general. A practical way is to classify nonlocal image-template operations into several commonly used classes and develop efficient implementation for each class. In this paper, we define a special class of image-template operations with nonlocal templates and develop a general efficient algorithm for this class of image-template operations. We then demonstrate how to use this class of image-template operations to compute geometric properties of image components such as area, perimeter, compactness, height, width, diameter, moments, and centroid. © 1994 SPIE.

关键词： image algebra image-TEMPLATE OPERATIONS NONLOCAL OPERATIONS COMPONENT TEMPLATES image COMPONENT GEOMETRIC PROPERTIES

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