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conference on machine vision applications, Architectures, and Systems Integration vi

作者： Aluze, D Coulot, C Meriaudeau, F Gorria, P Dumont, C Univ. de Bourgogne (France)

ISBN: (纸本)0819426377

In this paper, we present an original solution of lighting system used for the control of surface aspect of 3D reflective products. The most important feature of this system is to provide an image where defects appear clearly from the background wherever defects are located on the product. The processes applied on this image allow us to compute defect surface and defect number.

关键词： machine vision quality control lighting 3D reflective products

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Compact and thin multi-lens system for machine vision applications

Compact and thin multi-lens system for machine vision applic...

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conference on image processing - machine vision applications

作者： Lam, Edmund Y. Univ Hong Kong Dept Elect & Elect Engn Imaging Syst Lab Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780819469854

Compact imaging devices are desirable in many different machine vision applications. For instance, in inspection for semiconductor manufacturing systems, the reduction in feature size demands lenses with a small working distance but a wide field of view. An integrated computational imaging system has proved to be advantageous in this respect, as it integrates the optics, optoelectronics, and signal processing together in the system architecture. This allows for unconventional optical systems that require further image processing to reconstruct the images, but can be made to satisfy more stringent design constraints such as size, power, and cost. In this paper, we focus on a multi-lens optical architecture. We explain the possible designs and discuss the reconstruction of images, as we need to combine the multiple low-resolution images formed from the different optical paths into a high-resolution image. We will also explore its applicability in various machine vision applications.

关键词： imaging systems multi-lens architecture computational imaging super-resolution image reconstruction machine vision

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Smart vision system for applied image processing

Smart vision system for applied image processing

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conference on New image processing Techniques and applications - Algorithms, Methods, and Components II

作者： Gokstorp, M Integrated Vision Products AB (Sweden)

ISBN: (纸本)0819425214

Smart vision systems for high performance machine vision applications are presented. The smart vision systems are based on smart vision sensors. These are programmable circuits consisting of image sensors, AD-converters, and RISC-processors integrated on the same silicon chip. The processor, being a line parallel bit-serial SIMD machine, handles both binary and grey scale information efficiently. The instruction set is specially designed for image processing tasks.

关键词： image processing Sensors Photodiodes image sensors Data conversion Binary data Data centers Analog electronics CMOS sensors Information visualization

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PROTEUS - A RECONFIGURABLE COMPUTATIONAL NETWORK FOR COMPUTER vision

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machine vision AND applications 1995年第2期8卷 85-100页

作者： HARALICK, RM SOMANI, AK WITTENBRINK, C JOHNSON, R COOPER, K SHAPIRO, LG PHILLIPS, IT HWANG, JN CHEUNG, W YAO, YH CHEN, CH YANG, L DAUGHERTY, B LORBESKI, B LOviNG, K MILLER, T PARKINS, L SOOS, S UNIV CALIF SANTA CRUZ SANTA CRUZCA 95064

The Proteus architecture is a highly parallel, multiple instruction, multiple data machine (MIMD) optimized for large granularity tasks such as machine vision and image processing. The system can achieve 20 gigaflops (80 gigaflops peak). It accepts data via multiple serial links at a rate of up to 640 MB/s. The system employs a hierarchical reconfigurable interconnection network with the highest level being a circuit-switched enhanced hypercube, serial interconnection network for internal data transfers. The system is designed to use 256 to 1024 RISC processors. The processors use 1-MB external read/write allocating caches for reduced multiprocessor contention. The system detects, locates, and replaces faulty subsystems using redundant hardware to facilitate fault tolerance. The parallelism is directly controllable through an advanced software system for partitioning, scheduling, and development. System software includes a translator for the INSIGHT language, a parallel debugger, low- and high-level simulators, and a message-passing system for all control needs. image-processing application software includes a variety of point operators, neighborhood operators, convolution, and the mathematical morphology operations of binary and gray-scale dilation, erosion, opening, and closing.

关键词： PROTEUS INSIGHT RECONFIGURABLE COMPUTATIONAL NETWORK MIMD ENHANCED HYPERCUBE PARALLEL COMPUTING

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High-performance image processing system for powder mixture analysis

High-performance image processing system for powder mixture ...

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conference on machine vision applications, Architectures, and Systems Integration V

作者： Liang, YF Rutgers Univ. (United States)

ISBN: (纸本)0819423106

A machine vision system used for quantitative analysis of the uniformity of powder blending has been built at the CAIP center of Rutgers University. A wide variety of instruments are used in the system in order to perform the image processing algorithms required. This paper will introduce the system, focusing on the high speed image processing hardware configurations and discussing the scheme for developing the software to manage this comprehensive system.

关键词： machine vision high speed event driven

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Autonomous Ship Classification Using Synthetic and Real Color images

Autonomous Ship Classification Using Synthetic and Real Colo...

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conference on image processing - machine vision applications vi

作者： Kumlu, Deniz Jenkins, B. Keith Univ So Calif Inst Signal & Image Proc Los Angeles CA 90089 USA

ISBN: (纸本)9780819494344

This work classifies color images of ships attained using cameras mounted on ships and in harbors. Our data-sets contain 9 different types of ship with 18 different perspectives for our training set, development set and testing set. The training data-set contains modeled synthetic images;development and testing data-sets contain real images. The database of real images was gathered from the internet, and 3D models for synthetic images were imported from Google 3D Warehouse. A key goal in this work is to use synthetic images to increase overall classification accuracy. We present a novel approach for autonomous segmentation and feature extraction for this problem. Support vector machine is used for multi-class classification. This work reports three experimental results for multi-class ship classification problem. First experiment trains on a synthetic image data-set and tests on a real image data-set, and obtained accuracy is 87.8%. Second experiment trains on a real image data-set and tests on a separate real image data-set, and obtained accuracy is 87.8%. Last experiment trains on real + synthetic image data-sets (combined data-set) and tests on a separate real image data-set, and obtained accuracy is 93.3%.

关键词： Ship classification object recognition Hough transform feature extraction spatial pyramids connected component analysis forward feature selection random projection

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A modified Hierarchical graph cut based video segmentation approach for high frame rate video

A modified Hierarchical graph cut based video segmentation a...

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conference on image processing - machine vision applications vi

作者： Hu, Xuezhang Chakravarty, Sumit She, Qi Wang, Boyu Nanjing Univ Posts & Telecommun Nanjing Jiangsu Peoples R China

ISBN: (纸本)9780819494344

video object segmentation entails selecting and extracting objects of interest from a video sequence. video Segmentation of Objects (VSO) is a critical task which has many applications, such as video edit, video decomposition and object recognition. The core of VSO system consists of two major problems of computer vision, namely object segmentation and object tracking. These two difficulties need to be solved in tandem in an efficient manner to handle variations in shape deformation, appearance alteration and background clutter. Along with segmentation efficiency computational expense is also a critical parameter for algorithm development. Most existing methods utilize advanced tracking algorithms such as mean shift and particle filter, applied together with object segmentation schemes like Level sets or graph methods. As video is a spatiotemporal data, it gives an extensive opportunity to focus on the regions of high spatiotemporal variation. We propose a new algorithm to concentrate on the high variations of the video data and use modified hierarchical processing to capture the spatiotemporal variation. The novelty of the research presented here is to utilize a fast object tracking algorithm conjoined with graph cut based segmentation in a hierarchical framework. This involves modifying both the object tracking algorithm and the graph cut segmentation algorithm to work in an optimized method in a local spatial region while also ensuring all relevant motion has been accounted for. Using an initial estimate of object and a hierarchical pyramid framework the proposed algorithm tracks and segments the object of interest in subsequent frames. Due to the modified hierarchal framework we can perform local processing of the video thereby enabling the proposed algorithm to target specific regions of the video where high spatiotemporal variations occur. Experiments performed with high frame rate video data shows the viability of the proposed approach.

关键词： Graph Cut image Analysis video image processing Hierarchical Grap Guts Hierarchical video Segmentation Multiresolution

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Accelerating of Color Moments and Texture Features Extraction Using GPU Based Parallel Computing

Accelerating of Color Moments and Texture Features Extractio...

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8th Iranian conference on machine vision and image processing (MviP)

作者： Heidari, Hadis Chalechale, Abdolah Mohammadabadi, Alireza Ahmadi Razi Univ Dept Comp Engn Kermanshah Iran

ISBN: (纸本)9781467361842

image retrieval tools can assist people in making efficient use of digital image collections;also it has become imperative to find efficient methods for the retrieval of these images. Most image processing algorithms are inherently parallel, so multithreading processors are suitable in such applications. In very big image databases, image processing takes very long time for run on a single core processor because of single thread execution of algorithms. GPU is more common in most image processing applications due to multithread execution of algorithms, programmability and low cost. In this paper we implement color moments and texture based image retrieval ( entropy, standard deviation and local range) in parallel using CUDA programming model to run on GPUs. These features are applied to search images from a database which are similar to a query image. We evaluated our retrieval system using recall, precision, and average precision measures. Experimental results showed that parallel implementation led to an average speed up of 144.67xover the serial implementation when running on a NviDIA GPU GeForce GT610M. Also the average precision and the average recall of proposed method are 61.968% and 55% respectively.

关键词： color moment CUDA GPU texture based image retrieval

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Highly integrated image sensors enable low cost imaging systems

Highly integrated image sensors enable low cost imaging syst...

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conference on machine vision applications, Architectures, and Systems Integration vi

作者： Gallagher, PK Lake, D Chalmers, D Hurwitz, JED VLSI Vision Ltd. (United Kingdom)

ISBN: (纸本)0819426377

The highest barriers to wide scale implementation of vision systems have been cost. This is closely followed by the level of difficulty of putting a complete imaging system together. As anyone who has ever been in the position of creating a vision system knows, the various bits and pieces supplied by the many vendors are not under any type of standardization control. In short, unless you are an expert in imaging, electrical interfacing, computers, digital signal processing, and high speed storage techniques, you will likely-spend more money trying to do it yourself rather than to buy the exceedingly expensive systems available. Another alternative is making headway into the imaging market however. The growing investment in highly integrated CMOS based imagers is addressing both the cost and the system integration difficulties. This paper will discuss the benefits gained from CMOS based imaging, and how these benefits are already being applied.

关键词： CMOS imaging camera-on-a-chip low cost imaging videoconferencing digital imaging

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Adaptive kernels for morphological heteroassociative neural networks

Adaptive kernels for morphological heteroassociative neural ...

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conference on applications of Artificial Neural Networks in image processing vi

作者： Graña, M Raducanu, B Univ Basque Country Dept CCIA E-48080 Bilbao Spain

ISBN: (纸本)0819439835

Morphological Neural Networks (MNN) have been proposed as an alternative neural computation paradigm. In this paper we explore the potential of Heteroassociative MNN (HMNN) for a vision based practical task, that of self-localization in a vision-based navigation framework for mobile robots. HMNN have a big potential for real time application because its recall process is very fast. We present some experimental results that illustrate the proposed approach.

关键词： Neural networks Mobile robots Binary data visualization image processing Information visualization Sensors Cameras Matrices vision-based navigation

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