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piece recognition and image processing

Piece Recognition and Image Processing

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piece recognition and image processing 1988

The proceedings contain 15 papers. The topics discussed include: automatic threshold selection based on information gain;on the calculation of flow parameters in an image sequence;optimization techniques for edge and contour detection;image coding by adaptive vector quantization with least squares approximation;a new surface variation measurement algorithm via surface normals;a hardware design for topographical classification of pixels in an image;multiple image recognition by code division multiplexed phase-only encoded filters;and comparison of bipolar nonlinear correlators and phase-only encoded matched filter correlators.

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A hardware design for topographical classification of pixels in an image

A hardware design for topographical classification of pixels...

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piece recognition and image processing 1988

作者： Salari, Ezzatollah Bumrungthum, Paisit University of Toledo Department of Electrical Engineering 2801 W. Bancroft St. ToledoOH43606 United States

The gray level geographical structure (GLGS) is a simple method to represent the local intensity variation of an image in symbolic description. This representation can be used in higher level image processing in subsequent steps. The advent of VLSI microelectronic technology has led to the idea of implementing the GLGS directly in hardware. A two-dimensional pipelined systolic pixel classification array is proposed in this paper. In the design, each pair of processing elements processes the data in a pipelined fashion and the data in each pair of processing elements is processed in a parallel fashion to further enhance the system performance. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Pixels

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On the calculation of flow parameters in an image sequence

On the calculation of flow parameters in an image sequence

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piece recognition and image processing 1988

作者： Salari, Ezzatollah Jong, Chiou-Muh University of Toledo Department of Electrical Engineering 2801 W. Bancroft St. ToledoOH43606 United States

When an object moves relative to a sensor, the motion of its image in the image plan produces an image flow field. The calculation of image flow which involves obtaining a velocity vector at each pixel is considered very important in the area of robot vision. This paper introduces a method for the calculation of optical flow generated by the motion of planar objects under orthographic projection. The proposed method consists of two phases. In the first phase an interpolation technique is introduced to obtain the correspondence of dense feature points. In the second phase a least squares method is used to estimate the optical flow parameters from the corresponding point pairs obtained in the first phase. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Optical flows

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Multiple image recognition by code division multiplexed phase-only encoded filters

Multiple image recognition by code division multiplexed phas...

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piece recognition and image processing 1988

作者： Javidi, Bahrain Odeh, Souheil F. Department of Electrical Engineering Michigan State University East LansingMI48824-1226 United States

A multiobject shift-invariant pattern recognition system using code division multiplexed binary phase-only correlation is presented. The system computes the binary correlation between an input pattern and a generalized set of pattern functions. This technique uses a filter which consists of a set of binary phaseonly code division multiplexed reference pattern functions. There are many advantages in binarizing the filter function. Binary spatial light modulators (SLMs) have been developed that work well in a binary phase-only mode and can be used to synthesize the spatial filters of this type. Binarization also permits the recording of filters of images with larger samples on currently available binary SLMs that have a limited number of pixels. The functions in the reference set may correspond to either different objects or different variations of the object under study. Computer simulations of the correlator are used to study the performance of the pattern recognition system. The correlation signal-to-noise ratio (SNR) and the ratio of the correlation peak intensity to the maximum correlation sidelobe intensity are evaluated as the criteria for the system performance. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： image recognition

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image processing techniques for illumination correction

Image processing techniques for illumination correction

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piece recognition and image processing 1988

作者： Miller, John W. V. Univ. of Michigan-Dearborn Department of Elec. and Comp. Eng. DearbornMI48128-1491 United States Edison Industrial Systems Ctr. 1700 N. Westwood Ave. ToledoOH43607-1207 United States

Basic image processing operations such as thresholding are often difficult to use in industrial settings because of nonuniformities in scene illumination. However, these illumination variations can be reduced or eliminated entirely if appropriate image processing techniques are applied prior to level-sensitive processing. Useful procedures for reducing the effects of illumination variations are covered in this paper including background subtraction, high-pass filtering and the use of homomorphic filters. Hardware considerations for performing these operations in real-time systems are also discussed. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Real time systems

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Optical fourier convolver for image display of wedge-ring discrimination features

Optical fourier convolver for image display of wedge-ring di...

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piece recognition and image processing 1988

作者： Clark, David Czerner, Paul Global Holonetics Corporation P.O. Box 1305 FairfieldIA52556 United States

A wedge-ring Fourier feature extractor is enhanced with Fourier plane intensity spatial filtering to provide imagedomain, discrimination feature displays. A brief review is given of the optical Fourier feature extractor architecture and its practical industrial inspection applications. A previous limitation of Fourier feature extractors has been the lack of display to the end-user of discrimination features in the space- or image-domain. A solution is presented consisting of a specialized 16- wedge and 16-ring Fourier plane intensity filter set. From Fourier feature vector data produced by the feature extractor, Fisher discriminant ratios determine the Fourier plane spatial filters to be used. Thus a dynamic architecture with feedback is possible, allowing the end-user to adjust front-end video image acquisition and/or object presentation to maximize the Fourier feature space novelty of defects to be detected. Computer software generated spatially filtered images are presented. An approach for implementing dedicated hardware is suggested, utilizing optical Fourier plane multiplication to achieve real-time convolution. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Beamforming

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image coding by adaptive vector quantization with least squares approximation

Image coding by adaptive vector quantization with least squa...

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piece recognition and image processing 1988

作者： Sun, H. Hsu, H. Department of Electrical Engineering Fairleigh Dickinson University TeaneckNJ07666 United States

An image may have different local statistics, or different local properties of detailed content. According to the information theory, a fixed bit rate coding scheme will result in more distortion in higher-detail (or active) areas than in lower-detail (or non-active) areas. Consequently, an edge degradation occurs. In this paper, an adaptive vector quantization with least squares approximation method is proposed to address this problem. The scheme is based upon a variable block size. The basic idea is to partition the image blocks into two parts;high-detail and low-detail or active and non-active, according to the activity index measurement. The active blocks are further divided into smaller blocks. The values of pixels in the non-active block are approximated by a smaller number of samples with least spuares method. The two sets which are designed to have same dimensionality are used to form a vector set and vector quantized. Therefore, the non-active blocks can be coded with the same codebook as for the high-detailed subblocks, but less bits are needed. Experimental results show that the quality of reconstructed images is improved in this algorithm over non-adaptive VQ because the bits saved in two low-detailed areas are allocated to the high-detailed area where the edge could be found. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Least squares approximations

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PARTICLE SHAPE ANALYSIS BY MEANS OF image processing TECNIQUES AND FOURIER SERIES

PARTICLE SHAPE ANALYSIS BY MEANS OF IMAGE PROCESSING TECNIQU...

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The First International Conference on Measurement and Control of Granular Materials

作者： Giuseppe BONIFAZI Paolo MASSACCI Giacomo PATRIZI Dipartimento di Ingegneria Chimica dei Materialidelle Materie Prime e MetallurgiaUniversità degli Studi di Roma“La Sapienza”. Dipartimento di Statistica Probabilita'e Statistiche Applicate Università degli Studi di Roma“La Sapienza”.

The aim of this paper is to formulate suitable procedures for the characterization of the shape of particulate solids and their subsequent recognition by means of image processing *** different recognition algorithms will be described,which make use of a Fourier analysis of the boundary of the particle to be recognized. The first is based on defining a system of polar coordinates,starting from an interior pole of the *** distance to the boundary of the particle from the given pole is measured and a predetermined number of sample points are taken,at given angular intervals. The second procedure corresponds to piece-wise linearization of the *** coordinates of the end points of segments of the boundary are determined,by using a suitable step size and they are then expressed as a Fourier *** step size must be chosen iteratively, so as to ensure the closing of the boundary. Both the procedures are described and a critical comparison of the results is undertaken based on the examination of samples of some types of particulate ***,the possibility of performing a classification of the type of particle considered is examined and some interesting results will be described. Thus the aim of this paper is to derive certain properties of the shape analysis of particulate solids so as to provide a basis for the development of an Expert System to recognize and classify particles through their morphological characteristics.

关键词： PARTICLE SHAPE ANALYSIS BY MEANS OF image processing TECNIQUES AND FOURIER SERIES

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