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检索条件"主题词=Image processing algorithms and systems"

共 335 条记录，以下是121-130 订阅

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OBJECT CONTOURS AND BOUNDARIES IN COLOR imageS

OBJECT CONTOURS AND BOUNDARIES IN COLOR IMAGES

引用

CONF ON VISUAL COMMUNICATIONS AND image processing 90

作者： RONFARD, R Ecole des Mines de Paris and Telecom Paris (France)

This paper illustrates the practical use of deformable contour models in the context of multi-spectral image segmentation. A discussion of color boundary energies is made, and an algorithm (Boundary Search) is present... 详细信息

ISBN: (纸本)0819404217

关键词： image processing Visual communications RGB color model image segmentation Calibration Color vision image processing algorithms and systems Medical imaging Modeling Video

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image sequence segmentation using curve evolution and improved background subtraction

Image sequence segmentation using curve evolution and improv...

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10th Visual Information processing Conference

作者： Liu, W Zhang, J Univ Wisconsin Dept Elect Engn & Comp Sci Milwaukee WI 53201 USA

ISBN: (纸本)0819440833

In this paper, we describe a novel approach to image sequence segmentation. In this approach, the presence of moving objects is first detected through background subtraction, i.e., the difference between the current frame and a dynamically updated background. Then, moving objects are extracted from the background subtraction image. Experimental results on surveillance image sequences demonstrated the efficacy of the proposed approach and its improvements over previous background subtraction techniques.

关键词： image segmentation image processing algorithms and systems Digital filtering Surveillance Cameras Motion estimation Video compression Video surveillance Light sources and illumination Video

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Neural network processor

Neural network processor

引用

Conference on Infrared systems and Photoelectronic Technology

作者： Banish, MR Chenault, DB Harchanko, J Polaris Sensor Technologies Inc. (United States)

ISBN: (纸本)0819455016

A Pulse Coupled Neural Network (PCNN) has been developed in order to segment image data to reduce the amount of downstream processing. This paper discusses the results of applying the PCNN algorithm to data generated by various sensor platforms. The PCNN algorithm was applied to data generated by a Long Wave Infrared Imaging Polarimeter. The PCNN correctly identified the concealed vehicles and the disturbed earth and rejected 96% of the remaining pixels because they had no information content. Next, the results of applying the PCNN algorithm to noisy infrared seeker data are presented. The PCNN correctly identified the target even though the background was quite noisy. Finally, the PCNN algorithm was applied to images containing solar glint. It correctly passed only 3% of the pixels to the downstream target/glint decision algorithm. To obtain maximum data throughput, the PCNN can be implemented in hardware.

关键词： image segmentation Neurons image processing Detection and tracking algorithms image processing algorithms and systems Neural networks Polarimetry Sensors Data processing Infrared imaging

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SEGMENTATION OF FRAMES IN A VIDEO SEQUENCE USING MOTION AND OTHER ATTRIBUTES

SEGMENTATION OF FRAMES IN A VIDEO SEQUENCE USING MOTION AND ...

引用

Conference on Digital Video Compression - algorithms and Technologies 1995

作者： CHALOM, E BOVE, VM MIT MEDIA LABCAMBRIDGEMA 02139

ISBN: (纸本)0819417661

Motion-compensated video coders typically segment a scene into arbitrary tiles, resulting in a compressed bitstream which is not physically or semantically related to the scene structure. This paper presents a method for segmenting video frames and coding motion of regions, where the regions are defined in terms of a number of different properties. The goal is a video coder which gives good compression while identifying coherent regions in a manner useful for both human users and automated scene-understanding processes. Both a supervised and an unsupervised clustering algorithm are used to segment an image sequence; both algorithms make use of multiple features including motion, texture, position, and color. By utilizing both the structure and motion information, we preserve the semantic/structural content of the different regions, and simultaneously remove the redundancy (in successive frames) by describing the motion information in each region with a six-parameter affine model. In the supervised clustering algorithm, the first frame is manually segmented and used as training data. The classification of subsequent frames is done automatically, by using a MAP estimate, and modeling the n-dimensional feature-space as jointly Gaussian. The unsupervised algorithm is an iterative process that reassigns the classification of each point to the region corresponding to the nearest mean among each region of the segmentation from the previous iteration. In both algorithms, the distance and/or the mean is an n-dimensional measurement, n being the number of features used.

关键词： image segmentation Optical flow Video Motion models Video compression Affine motion model Classification systems image processing algorithms and systems Motion estimation Error analysis

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Spatial detection of TV channel logos as outliers from the content

Spatial detection of TV channel logos as outliers from the c...

引用

Conferenceon Visual Communications and image processing 2006

作者： Ekin, A Braspenning, R Philips Res Videa Proc & Visual Percept Grp Eindhoven Netherlands

ISBN: (纸本)0819461172

This paper proposes a purely image-based TV channel logo detection algorithm that can detect logos independently from their motion and transparency features. The proposed algorithm can robustly detect any type of logos, such as transparent and animated, without requiring any temporal constraints whereas known methods have to wait for the occurrence of large motion in the scene and assume stationary logos. The algorithm models logo pixels as outliers from the actual scene content that is represented by multiple 3-D histograms in the YCBCR space. We use four scene histograms corresponding to each of the four corners because the content characteristics change from one image corner to another. A further novelty of the proposed algorithm is that we define image corners and the areas where we compute the scene histograms by a cinematic technique called Golden Section Rule that is used by professionals. The robustness of the proposed algorithm is demonstrated over a dataset of representative TV content.

关键词： Detection and tracking algorithms Video image processing image segmentation Motion models 3D modeling Transparency Binary data image processing algorithms and systems Opacity

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SEGMENTATION EVALUATION AND COMPARISON - A STUDY OF VARIOUS algorithms

SEGMENTATION EVALUATION AND COMPARISON - A STUDY OF VARIOUS ...

引用

Meeting on Visual Communications and image Communication 93

作者： ZHANG, YJ DELFT UNIV TECHNOL DEPT APPL PHYSDELFTNETHERLANDS

ISBN: (纸本)0819413690

An objective and quantitative study of several representative segmentation algorithms is presented. In this study, the measurement accuracy of object features from the segmented images is taken to judge the quality of segmentation results and to assess the performance of applied algorithms. Moreover, some synthetic images are specially generated and used in test experiments. This evaluation and comparison study reveals the behavior of those algorithms within various situations, provides their performance ranking under real-like conditions, gives some limits and/or constraints for employing those algorithms in different applications, as well as indicates several potential directions for improving their performance and initiating new developments. Since the investigated algorithms are selected from different technique groups, this study also shows that the presented approach would be valid and effective for treating a wide range of segmentation algorithms.

关键词： image segmentation image processing algorithms and systems Signal to noise ratio Algorithm development Edge detection image processing Detection and tracking algorithms image analysis image filtering Linear filtering

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SUPERVISED INTERPRETATION OF ECHOCARDIOGRAMS WITH A PSYCHOLOGICAL MODEL OF EXPERT SUPERVISION

SUPERVISED INTERPRETATION OF ECHOCARDIOGRAMS WITH A PSYCHOLO...

引用

CONF ON BIOMEDICAL image processing AND BIOMEDICAL VISUALIZATION

作者： REVANKAR, S SHER, D SHALIN, VL RAMAMURTHY, M SUNY/Buffalo (United States)

ISBN: (纸本)0819411388

We have developed a collaborative scheme that facilitates active human supervision of the binary segmentation of an echocardiogram. The scheme complements the reliability of a human expert with the precision of segmentation algorithms. In the developed system, an expert user compares the computer generated segmentation with the original image in a user friendly graphics environment, and interactively indicates the incorrectly classified regions either by pointing or by circling. The precise boundaries of the indicated regions are computed by studying original image properties at that region, and a human visual attention distribution map obtained from the published psychological and psychophysical research. We use the developed system to extract contours of heart chambers from a sequence of two dimensional echocardiograms. We are currently extending this method to incorporate a richer set of inputs from the human supervisor, to facilitate multi-classification of image regions depending on their functionality. We are integrating into our system the knowledge related constraints that cardiologists use, to improve the capabilities of our existing system. This extension involves developing a psychological model of expert reasoning, functional and relational models of typical views in echocardiograms, and corresponding interface modifications to map the suggested actions to image processing algorithms.

关键词： image segmentation Visualization Heart Human-machine interfaces image analysis image processing Algorithm development Telecommunications image processing algorithms and systems Binary data

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SEGMENTING HANDWRITTEN TEXT LINES INTO WORDS USING DISTANCE algorithms

SEGMENTING HANDWRITTEN TEXT LINES INTO WORDS USING DISTANCE ...

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CONF ON MACHINE VISION APPLICATIONS IN CHARACTER RECOGNITION AND INDUSTRIAL INSPECTION

作者： SENI, G COHEN, E SUNY/Buffalo (United States)

ISBN: (纸本)0819408158

This paper explores different distance algorithms that can group connected components of a handwritten text line into words. A binarized handwritten text image normally consists of many connected components, where each component is a character fragment, an isolated character, or a group of characters. When the writing style is unconstrained, recognition of individual components is unreliable so the components must be grouped into words before recognition algorithms (which may require dictionaries) can be used. algorithms that compute the distance between connected components can indicate how the connected components should be clustered into words. We show that fast straightforward distance algorithms (such as using the horizontal distance between the component''s bounding boxes) have mediocre performance. Euclidean distance algorithms perform well but are computationally slow. This paper describes original methods of computing distances. These algorithms include combining a set of horizontal distances between components (applied to each pixel row) with the Euclidean and bounding box methods to achieve high performance and reasonable speed. We examine six distance algorithms and each is tested on unconstrained handwritten address images.

关键词： Detection and tracking algorithms Distance measurement image quality Associative arrays Binary data CCD cameras image processing algorithms and systems Sensors Testing and analysis

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Evaluation of a level set segmentation method for cardiac ultrasound images - art. no. 69200E

Evaluation of a level set segmentation method for cardiac ul...

引用

Medical Imaging 2008 Conference

作者： Yue, Yong Tagare, Hernant D. Yale Univ Dept Diagnost Radiol Dept Biomed Engn New Haven CT 06520 USA

ISBN: (纸本)9780819471048

This paper evaluates the quality of segmentation achieved by a level set evolution strategy call Tunneling Descent.(1) Level sets often evolve and become stationary at the nearest local minimum of an energy function. A comparison of the local level set minimum with a global minimum is important for many applications. This is especially true of ultrasound segmentation where ultrasound speckle can introduce many local minima which trap the level set. In this paper, we compare the quality of the level set segmentation with the quality of segmentation achieved by (1) simulated annealing (with three different cooling schedules), and (2) random sampling, and (3) three experts (manual segmentation). Simulated annealing and random sampling offer global minimization. In this paper, the quality of the segmentation is compared for 21 clinically-obtained images. The comparison is carried out using two performance measures: the amount by which the global minimizers can further decrease the level set energy, and the contour distance between the segmentations themselves. The results show that level set segmentation is within one ultrasound resolution cell of the global minimum. The results also show that the level set segmentation is quite close to manual segmentation.

关键词： image segmentation Remote sensing algorithms Ultrasonography Echocardiography image processing algorithms and systems Speckle Diagnostics Radiology Tissues

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Moving Target Detection for a Multi-Band Pushbroom Sensor

Moving Target Detection for a Multi-Band Pushbroom Sensor

引用

Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications VII

作者： Cheng, Beato T. Goodrich ISR Syst Chelmsford MA 01824 USA

ISBN: (纸本)9780819481320

A pushbroom MSI sensor collects image data from the ground, parallel to the flight path, at a specific point angle. images taken at two instances of time while the scanner moves with the platform usually have a spatial offset, and need to be registered before they can be compared for any changes between the two images. Moving target detection is a special case of change detection that requires the time between frames be small enough that a moving vehicle remains in close proximity on the two frames. We propose an algorithm for the detection of moving targets in a multi-band line scanning pushbroom sensor. Ideally, change detection works best when images have the same spectral bandwidth and are perfectly registered to one another, since differencing the two images automatically removes most of the common background signal. However, this is not always the case. For example, the sensor considered here has different bandwidths for its component bands, and since it is a line-scanner it is much more challenging regarding image registration than a framed-based scanner. In this study, we will use simulated data of the same bandwidth to demonstrate the fundamental algorithm of detection and velocity calculation. The velocity calculation is that of distance divided by time;but, depending on the focal plane layout and other operating considerations and conversion between image space to physical units, this calculation is not as simple as it seems. We will also discuss our effort in applying our algorithm to real line-scan imagery, of different bandwidths in the two channels. We will show the extra image processing efforts needed to make it work, and show some of the test results.

关键词： image segmentation Sensors Detection and tracking algorithms Target detection image processing image quality Raster graphics image registration image processing algorithms and systems image sensors

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