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Principles and design graphs for obtaining uniform illumination in automated visual inspection

Principles and design graphs for obtaining uniform illuminat...

引用

6th International conference on image processing and its applications

作者： Davies, ER Univ London Royal Holloway & Bedford New Coll Egham TW20 0EX Surrey England

ISBN: (纸本)085296692X

This paper is concerned with the inspection of flat materials on which blemishes are to be found. In many such cases, inspection is facilitated by arranging the illumination to make an ideal surface appear uniformly bright. It is found that this can be achieved by several convenient configurations of tubular lights having a close analogy both with Helmholtz coils and with Butterworth filters. The paper presents principles and design graphs for three configurations in which some 'pass-band ripple' is allowed. It is intended that the paper will stimulate further discussion on the optimal design of lighting systems for inspection applications.

关键词： image analysis

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Intermediate and low-level image processing with M3

Intermediate and low-level image processing with M3

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conference on applications of Digital image processing xx

作者： Ercan, MF Fung, YF Demokan, MS Hong Kong Polytechnic Univ. (Hong Kong China)

ISBN: (纸本)0819425869

We have developed a new architecture for computer vision which is a Multi-level, MIMD machine (M3). It is a homogenous system where the control unit, processing arrays and image store are all built using the same type of digital signal processor (DSP). DSPs provide satisfactory performance at low - and intermediate-level image processing and make the construction of a homogeneous system possible. The processing array of the system consists of three linear arrays. Each linear array is dedicated to one image processing type. The system has a modular design and it can be expanded easily. The overall system design utilizes distributed memory MIMD paradigm. The system is benchmarked with some low-and intermediate-level image processing algorithms such as convolution, edge finding, Hough transform etc. and results are presented.

关键词： computer vision architectures image processing performance parallel processing

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Integrated data processing between image and audio - Musical instrument (piano) playing information processing

Integrated data processing between image and audio - Musical...

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6th International conference on image processing and its applications

作者： Saitoh, J Kodate, A Tominaga, H Waseda Univ Tokyo Japan

ISBN: (纸本)085296692X

This paper proposes an integrated data processing system between video and audio. The subject in this paper is the action of "Playing the Piano". First the information generated from the action is defined according to the meanings;scale, key etc. Then depending on the meanings, each information is processed in a media space, where it is likely easier processed. We designed a co-operative musical scale detection system of audio and video data and performed basic experiments. The simulation results show that image processing only gave the detection rate over 90 %(white-key) and sound processing could cope with faster key-hit movement and black-key hit detection and combining 2 processes gave higher detection rate. The proposed method can be applied to audio data compression. With the simple sound description model (Musical Scale, Amplitude and Phase), about 40-70 % of data reduction was achieved with better quality than processing audio alone.

关键词： media conversion musical scale detection multimedia cooperation

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High-signal-to-noise-ratio image processing in low-signal-to-bias-ratio environments

High-signal-to-noise-ratio image processing in low-signal-to...

引用

conference on Algorithms, Devices, and Systems for Optical Information processing

作者： Urey, H Rhodes, WT Caulfield, HJ Urey, Z Georgia Institute of Technology (United States) Georgia Tech Lorraine (France) Fisk Univ. (United States) TUBITAK Marmara Research Ctr. (Turkey)

ISBN: (纸本)0819425818

Certain optical image processing schemes proposed over the years are severely limited in performance because optical intensity distributions produced by the associated processors are characterized by extremely low signal-to-bias ratios (SBR). The available dynamic range of standard (e.g., CCD) image detectors is used up primarily by the bias content of the distributions, with little dynamic range left over for information-bearing signals. Examples arise in connection with incoherent holography, time-integration acousto-optical spectrum analysis and correlation, and OTF synthesis, as well as in other areas. What is needed for the processing of such low SBR image distributions is an imaging device that is essentially ''ac-coupled,'' i.e., that rejects background bias components in low-contrast imagery and responds only to the signal components. The pyroelectric imaging camera, used traditionally for thermal imaging, has these characteristics if the bias components are non-time-varying and the signal components are made to change with time. Recent developments in pyroelectric materials and camera technology suggest that image processor outputs with SBRs of 10(-3) or less (the human eye is incapable of discerning signal information in such law-contrast imagery) can be detected with 8 to 14 bits of dynamic range going to the signal information alone. Thus, high SNR processing with low SBR signals appears possible. We describe briefly the operation of pyroelectric detectors and cameras and then introduce a variety of real-time image processing applications.

关键词： pyroelectric detectors optical image processing incoherent optical processing low-contrast image processing

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image quality measurement using the Haar wavelet

Image quality measurement using the Haar wavelet

引用

conference on Wavelet applications in signal and image processing V

作者： Lai, YK Kuo, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819425915

The traditional mean-squared-error (MSE) or peak-signal-to-noise-ratio (PSNR) error measures are mainly focused on the pixel-by-pixel difference between the original and compressed images. Such metrics are improper for subjective quality or fidelity assessment, since human perception is very sensitive to correlations between adjacent pixels. In this work, we explore the Haar wavelet to model the space-frequency localization property of human visual system (HVS). It is shown that the physical contrast in different resolutions can be easily represented in terms of transform coefficients. We model HVS with the Haar filter with several Visual mechanisms and develop a subjective quality measure which is more consistent with human observation experience.

关键词： image quality assessment compression artifact measure human visual system model (HVS) Haar wavelet

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Variable size block matching motion compensation for object-based video coding

Variable size block matching motion compensation for object-...

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6th International conference on image processing and its applications

作者： Packwood, RA Steliaros, MK Martin, GR Univ Warwick Coventry CV4 7AL W Midlands England

ISBN: (纸本)085296692X

Recently developed object-based video coding schemes require the estimation of motion in arbitrary-shaped objects. A quad-tree structured variable size block matching technique is described. The inherent motion is represented by significantly fewer blocks than if conventional fixed size block matching had been used to provide a similar quality prediction.

关键词： image coding

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Digital image watermarking using visual models

Digital image watermarking using visual models

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conference on Human Vision and Electronic Imaging II

作者： Podilchuk, CI Zeng, WJ Lucent Technologies Bell Labs. (United States) Princeton Univ. (United States)

ISBN: (纸本)0819424277

The huge success of the Internet permits the transmission and wide distribution and access of electronic data in an effortless manner. Content providers are faced with the challenge of how to protect their electronic data, This problem has generated a flurry of recent research activity in the area of digital watermarking of electronic content for copyright protection. Unlike the traditional visible watermark found on paper, the challenge here is to introduce a digital watermark that does not alter the perceived quality of the electronic content while being extremely robust to attack. For instance, in the case of image data, editing the picture or illegal tampering should not destroy or alter the watermark. Equally important, the watermark should not alter the perceived visual quality of the image. From a signal processing viewpoint, the two basic requirements for an effective watermarking scheme, robustness and transparency, conflict with each other. We propose a watermarking technique for digital images that is based on utilizing visual models which have been developed in the context of image compression. Specifically, we propose a watermarking scheme where visual models are used to determine image dependent modulation masks for watermark insertion. In other words, for each image we can determine the maximum amount of watermark signal that each portion of the image can tolerate without affecting the visual quality of the image. This allows us to provide the maximum strength watermark which in turn, is extremely robust to common image processing and editing such as JPEG compression, rescaling, and cropping. We have watermarking results in a DCT framework as well as a wavelet framework. The DCT framework allows the direct insertion of watermarks to JPEG-compressed data whereas the wavelet based scheme provides a framework where we can take advantage of both a local and global approach. Our scheme is shown to provide a framework dramatic improvement over the current s

关键词： Digital watermarking Visualization image quality image compression Visual process modeling Digital imaging Transparency wavelets image visualization signal processing

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image enhancement and denoising by wavelet transform for concealed weapon detection

Image enhancement and denoising by wavelet transform for con...

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conference on Investigative image processing

作者： Raghuveer, MR Rochester Institute of Technology (United States)

ISBN: (纸本)0819423440

Wavelet transform based techniques were developed and investigated for isolation and enhancement of objects in images. The primary motivation is the development of image processing algorithms as part of an automatic system for the detection of concealed weapons under a person's clothing;a problem of considerable potential utility to the military in certain common types of deployment in the post cold war environment such as small unit operations. The issue has potential for other dual use purposes such as law enforcement applications. Wavelet decompositions of the currently available images in the Rome Laboratory database, namely, noisy, low contrast, infrared images, were studied in space-scale-amplitude space. An isolation technique for separating potential suspicious regions/objects from surrounding clutter has been proposed. Based on the images available, the study indicates that the technique is promising in providing the image enhancement necessary for further pattern detection and classification.

关键词： Weapons image enhancement Discrete wavelet transforms Sensors Wavelet transforms Infrared sensors Algorithm development Digital image processing Infrared imaging wavelets

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Lossless and progressive image coding using optimal pyramidal analysis

Lossless and progressive image coding using optimal pyramida...

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conference on Wavelet applications in signal and image processing V

作者： Strintzis, MG Sevintikidis, T Boulgouris, N Univ. of Thessaloniki (Greece)

ISBN: (纸本)0819425915

Pyramidal decomposition is known to be highly useful for progressive and lossless image coding. The present paper presents a methodology for the optimal construction of pyramids by selecting the analysis prefilters and interpolation synthesis postfilters so as to minimize the error variance at each level of the pyramid. This establishes optimally efficient pyramidal lossless compression. It also has the added advantage of producing lossy replicas of the original which, at lower resolutions retain as much similarity to the original as possible. Thus, optimal progressive coding of signals or images is produced, as is needed for many applications such as fast browsing through image databases or hybrid lossless / lossy medical image coding. To achieve efficient lossless coding a scheme is utilized for the reduction of the number of data needed to be transmitted to reconstruct the original from the low resolution image and the errors produced at the various pyramid stages. This scheme in effect renders the pyramid into a ''reduced'' pyramid without sacrificing, however, the optimal analysis prefilters of the pyramid. Experimental application of this methodology shows that it outperforms existing methods for lossless and progressive image coding.

关键词： progressive image transmission lossless image compression reduced pyramids minimum variance filters

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Concealed weapon detection: An image fusion approach

Concealed weapon detection: An image fusion approach

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conference on Investigative image processing

作者： Uner, MK Ramac, LC Varshney, PK Alford, M Syracuse Univ. (United States) Rome Lab. (United States)

ISBN: (纸本)0819423440

This paper presents an approach to image fusion for concealed weapon detection (CWD) applications. In this work, we use image fusion to combine complementary image information from different sensors to obtain a single composite image with more detailed and complete information content. As a result of this processing, the new images are more useful for human perception and automatic computer analysis, tasks such as feature extraction and object recognition. In the fusion process, the images are first decomposed based on wavelet transform. Then at each lower resolution the images are fused by using several feature selection algorithms. The final composite image is obtained by taking the inverse wavelet transform of the fused wavelet coefficients. This technique has been applied to real data obtained from IR sensors. Special emphasis is placed on situations when weapons may not be completely visible from the sensors. Fusion results thadt demonstrate the utility of our approach are presented.

关键词： image fusion wavelets multiresolution analysis image decomposition concealed weapon detection multisensor systems multiscale image processing sensor fusion

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