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Illumination compensation methods for automatic fiber connector inspection

APPLIED OPTICS 2004年第6期43卷 1349-1354页

作者： Yang, YG Ciena Corp Linthicum Hts MD 21090 USA

Unevenly distributed image illumination is a problem in an automatic machine visual inspection system used for fiber connector defect detection. This unevenly distributed illumination makes it difficult to find an appropriate horizontal threshold to convert a gray-scale image to a binary image to separate surface defects, such as blobs and scratches, from the background of the connector. This paper proposes some effective methods to compensate the unevenly distributed illumination problem so that standard image processing methods can be used effectively to detect the defects of the fiber connectors. (C) 2004 Optical Society of America.

关键词： Fiber optic communications image quality image resolution LED sources Light intensity Nonlinear spatial filtering

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Adaptive lossless video compression

Adaptive lossless video compression

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Conference on visual communications and image processing 2004

作者： Park, SG Delp, EJ Purdue Univ Sch Elect & Comp Engn Video & Image Proc Lab W Lafayette IN 47907 USA

ISBN: (纸本)0819452114

In this paper, we describe a new lossless compression algorithm for color video sequences. Our approach is to exploit both spatial and temporal redundancies in the video sequence by developing a new adaptive algorithm. By adaptive selection between spatial and temporal prediction we show that our scheme is better than state-of-the-art lossless compression algorithms.

关键词： lossless video compression video compression predictive coding

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An overview of problems in image-based location awareness and navigation

An overview of problems in image-based location awareness an...

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Conference on visual communications and image processing 2004

作者： Lu, YH Delp, EJ Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)0819452114

In this paper we describe some of the research issues and challenges in image-based location awareness and navigation. We will describe two systems being developed at Purdue University as test beds for our ideas. The main system architecture combines image processing, mobility, wireless communication, and location awareness. We will describe two fundamental scenarios for using images to aid in mobile navigation problems. The first provides the ability to use a locally acquired image to determine the identity of an object, for example a building, as one roams in an area. The second problem is the use of images in a database to aid in vehicle navigation. The solution to these problems use location information, such as GPS signals, to compare and search location-annotated images in a database. We believe location information can improve the accuracy in image database search.

关键词： Databases Navigation systems Global Positioning System image transmission Cameras Roads image processing image storage Light sources and illumination visualization

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Computation of discontinuous optical flow fields based on spatiotemporal bilateral filtering

Computation of discontinuous optical flow fields based on sp...

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Conference on visual communications and image processing 2004

作者： Feghali, R Vincent, A Commun Res Ctr Canada Ottawa ON Canada

ISBN: (纸本)0819452114

In this study, we propose a new multi-frame method to compute a smooth and boundary preserving optical flow estimate. The approach is based on the bilateral filtering, a fast edge preserving smoothing tool. Inspired by the variational origin of the bilateral filter, we construct an energy functional that takes into account the image brightness conservation constraint and the bilateral smoothness of the optical flow. Minimization of this energy functional is performed using the Gauss Seidel iterations. Experimental results on synthetic and real image sequences demonstrate that the proposed approach yields an optical flow that is smooth and yet motion boundary preserving.

关键词： bilateral filtering motion estimation optical flow spatio-temporal processing

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An investigation of implicit active contours for scientific image segmentation

An investigation of implicit active contours for scientific ...

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Conference on visual communications and image processing 2004

作者： Weeratunga, SK Kamath, C Lawrence Livermore Natl Lab Livermore CA 94551 USA

ISBN: (纸本)0819452114

The use of partial differential equations in image processing has become an active area of research in the last few years. In particular, active contours are being used for image segmentation, either explicitly as snakes, or implicitly through the level set approach. In this paper, we consider the use of the implicit active contour approach for segmenting scientific images of pollen grains obtained using a scanning electron microscope. Our goal is to better understand the pros and cons of these techniques and to compare them with the traditional approaches such as the Canny and SUSAN edge detectors. The preliminary results of our study show that the level set method is computationally expensive and requires the setting of several different parameters. However, it results in closed contours, which may be useful in separating objects from the background in an image.

关键词： level set implicit active contour image segmentation edge detection

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Moving object detection using orthogonal Gaussian-Hermite moments

Moving object detection using orthogonal Gaussian-Hermite mo...

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Conference on visual communications and image processing 2004

作者： Wu, YF Shen, J Univ Bordeaux 3 EGID F-33607 Pessac France

ISBN: (纸本)0819452114

In this paper, we analyze some properties of the orthogonal Gaussian-Hermite moments and propose a new method to detect the moving objects using the orthogonal Gaussian-Hermite moments. For the segmentation of moving objects in such moment images, we propose the fuzzy relaxation method (FRM) and 3D morphological relaxation method (3DMRM). The experiment results are reported, which show the robustness of our methods.

关键词： image sequence analysis orthogonal moments Gaussian-Hermite moments moving object detection image segmentation background subtraction 3D morphological relaxation

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Detecting novel steganography with an anomaly-based strategy

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JOURNAL OF ELECTRONIC IMAGING 2004年第4期13卷 860-870页

作者： Jackson, JT Gunsch, GH Claypoole, RL Lamont, GB USAF Res Lab Munit Directorate Eglin AFB FL 32542 USA USAF Inst Technol Dept Elect & Comp Engn Wright Patterson AFB OH 45433 USA

Popular press and congressional record report a belief by the intelligence community that Al Qaeda members communicate through messages embedded invisibly in images shared via the Internet This is certainly plausible as steganography has a rich history of military and civilian use. Current signature-based approaches for detecting the presence of hidden messages rely on discerning "footprints" of steganographic tools. Of greater recent concern is detecting the use of novel tools for which no signature has been established. This research addresses this concern by using a method for detecting anomalies in seemingly innocuous images, applying a genetic algorithm within a computational immune system to leverage powerful image processing through wavelet analysis. The sensors developed with this system demonstrated a surprising level of capability to detect the use of steganographic tools for which the system had no previous exposure, including one tool designed to be statistically stealthy. (C) 2004 SPIE and IST.

关键词： Steganography Wavelets Analytical research Statistical analysis Switches MATLAB Filtering (signal processing) image processing Steganalysis Computing systems

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Possibilistic clustering based MR Brain image segmentation with accurate initialization

Possibilistic clustering based MR Brain image segmentation w...

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Conference on visual communications and image processing 2004

作者： Liao, QM Deng, YY Dou, WB Su, RA Bloyet, D Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0819452114

Magnetic resonance image analysis by computer is useful to aid diagnosis of malady. We present in this paper a automatic segmentation method for principal brain tissues. It is based on the possibilistic clustering approach, which is an improved fuzzy c-means clustering method. In order to improve the efficiency of clustering process, the initial value problem is discussed and solved by combining with a histogram analysis method. Our method can automatically determine number of classes to cluster and the initial values for each class. It has been tested on a set of forty MR brain images with or without the presence of tumor. The experimental results showed that it is simple, rapid and robust to segment the principal brain tissues.

关键词： image segmentation Brain Magnetic resonance imaging Neuroimaging Tissues Tumors Fourier transforms image processing image analysis Magnetism

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Pixel- and compressed-domain color matching techniques for video mosaic applications

Pixel- and compressed-domain color matching techniques for v...

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Conference on visual communications and image processing 2004

作者： Lee, MS Shen, MY Kuo, CCJ Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)0819452114

Several color matching algorithms are proposed to merge two or more video inputs of smaller sizes in to one single video output of a larger size with a wider field of view for the video mosaic application. The main challenge is to remove apparent seam lines between image boundaries. All developed algorithms share the same basic idea with different implementation details. That is, color differences between input images are first compensated using either histogram equalization or polynomial-based contrast stretching techniques. Then, a linear filtering technique is adopted to remove seam lines between image boundaries. The algorithms are developed in both the pixel and the DCT domains. The compressed-domain processing is attractive since it reduces the computational complexity. It is shown by experimental results that the color matching problem can be solved satisfactorily even in the compressed domain.

关键词： color matching video mosaic compressed domain processing DCT-domain processing

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Layered unequal loss protection for progressive image transmission over packet loss channels

Layered unequal loss protection for progressive image transm...

引用

Conference on visual communications and image processing 2004

作者： Cai, JF Li, XJ Chen, CW Nanyang Technol Univ Sch Comp Engn Ctr Multimedia & Network Technol Singapore 639798 Singapore

ISBN: (纸本)0819452114

In the past, many schemes have been proposed for progressive image transmission using unequal error protection (UEP) or unequal loss protection (ULP). However, most existing UEP/ULP schemes do not consider the minimum image quality requirement and usually have high computation complexity. In this paper, we propose a layered ULP (L-ULP) scheme for progressive image transmission over packet loss channels, which is able to solve the mentioned problems of existing ULP schemes by smartly choosing the layers. The numerical results show that the proposed L-ULP scheme is quite promising for fast image transmission over packet loss networks.

关键词： unequal loss protection progressive image transmission packet loss

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