In this work we introduce a new method for representing and evolving snakes that are constrained to lie on a prescribed surface (triangle mesh). The new representation allows to automatically adapt the snake resolutio...
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ISBN:
(数字)9783540264316
ISBN:
(纸本)3540250522
In this work we introduce a new method for representing and evolving snakes that are constrained to lie on a prescribed surface (triangle mesh). The new representation allows to automatically adapt the snake resolution to the surface tesselation and does not need any (unstable) back-projection operations. Furthermore, it enables efficient and robust collision detection and gives us complete control on the topological behaviour of the snakes, i.e. snakes may split or merge depending on the intended task. Possible applications include enhanced mesh scissoring operations and the detection of constrictions of a surface.
Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are already established in signal processing. They have proved to be excellent tools in feature extraction and classifica...
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ISBN:
(纸本)0819452009
Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are already established in signal processing. They have proved to be excellent tools in feature extraction and classification. We propose an inspection method for pattern recognition and classification of two dimensional translation variant security elements such as stripes, kinegrams and others, which are widely used as applications in bank note printing. The system is based on discrete non linear translation invariant circular transforms and fuzzy pattern classification. Nonlinear discrete circular transforms are adaptable transforms, which can be optimized for different application tasks, such as translation variant object analysis and position location. They are mainly used as generators for feature vectors. Even though, the feature vector is theoretically translation invariant, the object movement creates a translation tolerant feature vector, because in real systems and applications many problems can occur, such as signal and optical distortions. Therefore, the features should be further analysed by a fuzzy pattern classifier. Implementation of the transforms and fuzzy pattern classifier in radix-2-structures is possible, allowing fast calculations with a computational complexity of O(N) up to O(N1d(N)). Furthermore, the algorithms can be implemented in one Field Programmable Gate Array (FPGA), which operates with 40 MHz clock rate.
An iterative grid message-passing algorithm for model-based digital image halftoning is introduced. Based on the standard message-passing algorithm on the grid graphical model, the algorithm is designed to suboptimall...
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ISBN:
(纸本)0819448087
An iterative grid message-passing algorithm for model-based digital image halftoning is introduced. Based on the standard message-passing algorithm on the grid graphical model, the algorithm is designed to suboptimally solve general two-dimensional (2D) digital least metric (DLM) problems and is found to be very successful (i.e., nearly optimal) for 2D data detection in page-oriented optical-memory (POM) systems. In contrast to many 2D (iterative) optimization techniques, this grid algorithm attempts to achieve a globally optimal solution via a local-metric computation and message-passing scheme. Using a reduced-complexity technique, the simplified grid algorithm is proposed for the halftoning problem and is shown to provide similar image quality as compared to the best halftoning algorithms in the literature. Since the grid algorithm does not exploit the properties of a specific metric, it is directly applicable to other digital imageprocessing tasks (e.g., optimal near-lossless coding, entropy-constrained halftoning, or image/video dependent quantization).
During recent years color reproduction systems for consumer needs have experienced various difficulties. In particular, flat panels and printers could not reach a satisfactory color match. The RGB image stored on an I...
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ISBN:
(纸本)0819448087
During recent years color reproduction systems for consumer needs have experienced various difficulties. In particular, flat panels and printers could not reach a satisfactory color match. The RGB image stored on an Internet server of a retailer did not show the desired colors on a consumer display device or printer device. STMicroelectronics addresses this important color reproduction issue inside their advanced display engines using novel algorithms targeted for low cost consumer flat panels. Using a new and genuine RGB color space transformation, which combines a gamma correction Look-Up-Table, tetrahedrization, and linear interpolation, we satisfy market demands.
Under the Office of Naval Research's Organic Mine Countermeasures Future Naval Capabilities (OMCM FNC) program, Lite Cycles, Inc. is developing an innovative and highly compact airborne active sensor system for mi...
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ISBN:
(纸本)0819449490
Under the Office of Naval Research's Organic Mine Countermeasures Future Naval Capabilities (OMCM FNC) program, Lite Cycles, Inc. is developing an innovative and highly compact airborne active sensor system for mine and obstacle detection in very shallow water (VSW), through the surf-zone (SZ) and onto the beach. The system uses an innovative LCI proprietary integrated scanner, detector, and telescope (ISDT) receiver architecture. The ISD tightly couples all receiver components and LIDAR electronics to achieve the system compaction required for tactical UAVintegration while providing a large aperture. It also includes an advanced compact multifunction laser transmitter;an industry-first high-resolution, compact 3-D camera, a scanning function for wide area search, and temporally displaced multiple looks on the fly over the ocean surface for clutter reduction. Additionally, the laser will provide time-multiplexed multi-color output to perform day/night multispectral imaging for beach surveillance. New processingalgorithms for mine detection in the very challenging surf-zone clutter environment are under development. which offer the potential for significant processing gains in comparison to the legacy approaches. This paper reviews the legacy system approaches, describes the mission challenges, and provides an overview of the ROAR((TM)) system architecture.
This paper describes a work in progress to develop an updated road mapping system. The system is designed to generate map products working directly from multispectral imagery. The updated system is uses a resolution h...
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ISBN:
(纸本)0819444758
This paper describes a work in progress to develop an updated road mapping system. The system is designed to generate map products working directly from multispectral imagery. The updated system is uses a resolution hierarchy to match the size of the roads, measured in image pixels, to the optimal processing configurations. The original system was designed to work with low resolution Landsat TM imagery while the updated system is designed to be more versatile with the ability to generate products from the new systems now available such as Landsat VII, IKONOS. and Digital Globe. The majority of the map production is performed in an automated mode requiring no user interaction. A Java interface to support final editing of the automated results has been built to support application on multiple platforms. This paper describes the mapping algorithms, the special editing interface designed for road vector maps, and results of some processing experiments.
Terrain categorization and target detection algorithms applied to Hyperspectral imagery (HSI) typically operate on the measured reflectance (of sun and sky illumination) by an object or scene. Since the reflectance is...
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ISBN:
(纸本)0819444758
Terrain categorization and target detection algorithms applied to Hyperspectral imagery (HSI) typically operate on the measured reflectance (of sun and sky illumination) by an object or scene. Since the reflectance is a non-dimensional ratio, the reflectance by an object is nominally not affected by variations in lighting conditions. Atmospheric Correction (also referred to as Atmospheric 'Compensation', 'Characterization', etc.) algorithms (ACAs) are used in applications of remotely sensed HSI data to correct for the effects of atmospheric propagation on measurements acquired by air and space-borne systems. The Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) algorithm is an ACA created for HSI applications in the visible through shortwave infrared (Vis-SWIR) spectral regime. FLAASH derives its 'physics-based' mathematics from MODTRAN4.
Over the past several years, the Naval Research Laboratory has been developing video inspection systems for assessing the coatings condition in shipboard ballast tanks. Two prototype systems have been configured and a...
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ISBN:
(纸本)0819440868
Over the past several years, the Naval Research Laboratory has been developing video inspection systems for assessing the coatings condition in shipboard ballast tanks. Two prototype systems have been configured and are presently being utilized to perform video inspections of dry and filled ballast tanks. These systems are described in this paper. The large size and low level Lighting associated with this application results in "noisy" imagery. A wavelet based de-noising method has been developed that removes the noise in the video imagery while maintaining other edges important to corrosion detection Specific examples that demonstrate the efficacy of the de-noising methods are provided. Wavelet edge detection methods are then applied to the de-noised imagery to identify both regions of potential rust and the spatial distribution of rust. Additional methodologies are then utilized for final corrosion classification. The paper will provide examples of imagery collected in shipboard ballast tanks and examples of applying the automatic corrosion detection algorithms. These examples demonstrate the algorithms ability to work with "noisy" imagery and to ignore objects in the imagery such as ladders and pipes. They also demonstrate the robustness of the developed automatic corrosion detection algorithms.
Synthetic Aperture Radar (SAR) images are very useful for target recognition as they can avoid some of the shortcomings of optical cameras and infrared imagers. However, due to noise and clutter in the environment, th...
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ISBN:
(纸本)0819440779
Synthetic Aperture Radar (SAR) images are very useful for target recognition as they can avoid some of the shortcomings of optical cameras and infrared imagers. However, due to noise and clutter in the environment, the targets are hard to locate without preprocessing and target isolation algorithms. Here we propose an algorithm for enhancing target recognition. The algorithm consists of two steps. First, median filtering is performed to eliminate some speckles. Although median filter is simple, its performance is comparable to a method in the literature. Second, a method known as Sliding Quadrant developed by Intelligent Automation, Inc. (IAI) is used to locate the potential targets in the SAR images. Our method achieves much better target isolation than a well-known method in the literature.
A high performance, high sensitivity, CCD line scan camera for use in machine vision systems is presented. The camera incorporates an on-board micro-controller as well as PLD's (programmable logic devices) that al...
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A high performance, high sensitivity, CCD line scan camera for use in machine vision systems is presented. The camera incorporates an on-board micro-controller as well as PLD's (programmable logic devices) that allow computer control of image acquisition, imageprocessing, and image analysis. The micro-controller/PLD combination provide embedded imageprocessing/analysis capability whereby data compression can be achieved thus reducing the system hardware requirements. Users have control over algorithm parameters thus allowing for dynamic changes in the inspection target. algorithms and micro-controller firmware are completely in-system programmable via a serial communications link. Static and adaptive gray scale thresholding algorithms are presented as well as a sample application where a maximum of twenty cameras can be networked together to a single host computer. Applications for the camera include web inspection, parts inspection, template matching and gauging.
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