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Region-based retrieval: coarse segmentation with fine color signature

Region-based retrieval: coarse segmentation with fine color ...

引用

IEEE International conference on image processing

作者： J. Fauqueur N. Boujemaa INRIA Imedia Research Group Le Chesnay France

The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions. We first present a technique of unsupervised coarse detection of regions which improves their visual specificity. The segmentation scheme is based on the classification of local distributions of quantized colors (LDQC). The competitive agglomeration (CA) classification algorithm is used which has the advantage to automatically determine the optimal number of classes. Then, considering that region description which must be finer for regions than for images, we propose a region descriptor of fine color variability: the adaptive distribution of color shades (ADCS). Compared to existing color descriptors, the high color resolution of ADCS improves the perceptual similarity of retrieved regions.

关键词： image segmentation Prototypes image retrieval Feature extraction image databases Statistics visual databases Indexing Testing Classification algorithms

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Noninvasive evaluation of metastatic potential of ocular melanoma by analysis of radiofrequency ultrasound data

Noninvasive evaluation of metastatic potential of ocular mel...

引用

Medical Imaging 2002 conference

作者： Silverman, RH Folberg, R Lizzi, FL Culver-Boldt, H Lloyd, HO Rondeau, MJ Coleman, DJ Cornell Univ Weill Med Coll New York NY USA

ISBN: (纸本)0819444324

Purpose: While histopathologic evaluation of ocular melanoma permits assessment of metastatic risk, this is not possible if visual function is to be preserved. In this report, we describe ultrasound methods for noninvasive evaluation of metastatic risk. Methods: Radiofrequency (RF) ultrasound data were acquired prior to enucleation in 117 eyes with untreated malignant melanoma. Extracellular matrix patterns, an indicator of metastatic potential, were identified in histologic sections. We determined calibrated backscatter power spectra, estimates of effective scatterer size and concentration, and the percentage of tumor area comprised of PAS-positive patterns in the anterior, posterior and core regions of the tumors. We compared the spatial correlation of histologic and acoustic properties, performed linear discriminant analysis to define prognostic models, and used receiver operating characteristic (ROC) curves to evaluate models. Results: Statistically significant correlations were found between acoustic parameters and PAS-positive patterns, although their spatial distributions were only weakly related. Stepwise linear discriminant analyses produced models with three to five variables, and ROC areas as high as 0.89. Conclusion: Acoustic spectrum analysis provides information not evident in conventional gray-scale ultrasonograms regarding tissue microstructure. Our results confirm a relationship between spectra and the presence of extracellular matrix patterns associated with metastatic risk.

关键词： ultrasound eye malignant melanoma prognosis signal processing

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Choice of image features for depth-axis control in image based visual servo control

Choice of image features for depth-axis control in image bas...

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： R. Mahony P. Corke F. Chaumette Department Engineering Awtmlian National University Acton Australia Manufacturing Science and Technology QLD Australia Campus de Beaulieu INRIA Rennes France

This paper is concerned with choosing image features for image based visual servo control and how this choice influences the closed-loop dynamics of the system. In prior work, image features tend to be chosen on the basis of image processing simplicity and noise sensitivity. In this paper we show that the choice of feature directly influences the closed-loop dynamics in task-space. We focus on the depth axis control of a visual servo system and compare analytically various approaches that have been reported recently in the literature. The theoretical predictions axe verified by experiment.

关键词： Servosystems Control systems Servomechanisms Kinematics Jacobian matrices Cameras Manufacturing Australia image processing Fasteners

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visual servo technique of autonomous mobile robot in bended pipe

Visual servo technique of autonomous mobile robot in bended ...

引用

IEEE International conference on Industrial Technology (ICIT)

作者： Zhang Xiaohua Chen Hongjun Department of Electrical Engineering Harbin Institute of Technology Harbin China

Presents a visual servoing control method considering the problem of movement of an autonomous mobile robot in a bended pipe. Considering the turning of the robot at bends, a vision based intelligent control system is presented for the coordinated control of three wheels of the robot. The key techniques of the pipeline mobile robot are how to recognize the existence of bended pipe online, how to recognize the orientation of the bend and the curvature of the bend. The paper discusses the image recognition problems based on a CCD vision sensor. For the recognition of existence of bended pipe, the paper studies the image processing problem and provides an image recognition algorithm based on the movement invariant quadrature. For the recognition of orientation of the bended pipe, the paper provides a method based on the characteristics rotating vector and a neural network is utilized to recognize the orientation of the bended pipe. Finally the paper discusses the problem of the curvature recognition of the bended pipe and shows that a genetic algorithm can be used to achieve the optimization.

关键词： Servomechanisms Mobile robots image recognition Robot kinematics Intelligent robots Robot vision systems Character recognition visual servoing Turning Intelligent control

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A finite-interval constant modulus algorithm

A finite-interval constant modulus algorithm

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Phillip A. Regalia Department of Communications Image and Information Processing Institut National de Télécommunications Evry France

A finite-interval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration. Step size bounds which ensure monotonic convergence are obtained in analytic form, and proper tuning leads to an algorithm which converges typically within a few iterations. The algorithm thus gives a computationally feasible method for implementing constant modulus signal restoration in packet-based transmission systems.

关键词： Lead Artificial neural networks

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Enhancement of lossy compressed images by modeling with Bernstein polynomials

Enhancement of lossy compressed images by modeling with Bern...

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IEEE International conference on image processing

作者： J. Mayer Digital Signal Processing Laboratory Department of Electrical Engineering Federal University of Santa Catarina Brazil

A non-iterative post-processing enhancement technique is proposed for images degraded by either the JPEG-DCT or the JPEG-LS (LOCO) lossy coding algorithm. A degraded image is classified into active and smooth regions. A distance transform is applied to the resulting classification, and is used to determine the size and order of a Bezier surface patch. These Bezier blending surfaces, built with Bernstein polynomials, provide an interesting representation for the image. This approach mitigates the quantization noise while preserving strong edges and textures. Results illustrate the significant visual improvement achieved with a computational complexity of O(n).

关键词： image coding Polynomials Quantization Degradation image restoration Signal processing algorithms Surface morphology Iterative algorithms image edge detection Discrete cosine transforms

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Computer vision techniques for fire monitoring using aerial images

Computer vision techniques for fire monitoring using aerial ...

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Annual conference of Industrial Electronics Society

作者： L. Merino A. Ollero Spain

The paper presents an approach to the use of aerial images for fire monitoring. It shows techniques to segment the fire on visual images and to geo-locate the fire front. Color processing is used for fire segmentation. To geo-locate the fire base, a planar surface is assumed. The homography between the image plane and the real plane can be computed from several points correspondences. This homography is later used to geo-locate the fire base. Several artificial landmarks are used to obtain an initial relation. The homography is updated as the camera moves by tracking several points over the sequence of images. The points are tracked by using a feature matching algorithm. The explained procedure has been applied to visual images of controlled field fires taken by a camera placed on a helicopter.

关键词： Computer vision Fires Computerized monitoring Color Cameras image segmentation image processing Infrared detectors Unmanned aerial vehicles Intelligent systems

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Fast global motion estimation algorithm based on elementary motion detectors

Fast global motion estimation algorithm based on elementary ...

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IEEE International conference on image processing

作者： E. Nakamura M. Ichimura K. Sawada Department of Information Networks Engineering Aichi Institute of Technology Toyota Japan Department of Information Networks Engineering Toyota Yakusa Japan

This paper presents a fast global motion estimation algorithm based on so called elementary motion detectors or EMD. EMD, modeling insect visual signal processing systems, have low computational complexity aspects and thus can be key components to realize such a fast global motion estimation algorithm. The developed algorithm is evaluated by being applied to various types of image sequences and is found to provide accurate estimation results.

关键词： Motion estimation Motion detection Signal processing algorithms Detectors Cameras Nonlinear filters Computational complexity Signal processing Pixel image sequences

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Hierarchical image database browsing environment with embedded relevance feedback

Hierarchical image database browsing environment with embedd...

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IEEE International conference on image processing

作者： T. Meiers T. Sikora I. Keller Heinrich-Hertz-Institute of Communications Technology Berlin Germany

We address the user-navigation through large volumes of image data. A tree structured K-means clustering is introduced which will hierarchically group images into similar groups. Providing the nodes of the different levels with representative image samples leads to different "image maps" similar to street maps with various resolutions of details. The user can zoom into various cluster levels to obtain more or less detail if required. Further a new query refinement method is introduced. The retrieval process is controlled by learning from positive examples from the user, often called the relevance feedback of the user. The combination of the relevance feedback and the hierarchical structure together with a three-dimensional visualization of the "image maps" leads to an intuitive browsing environment. The results obtained verify the attractiveness of the approach for navigation and retrieval applications.

关键词： image databases Feedback image retrieval Navigation Information retrieval MPEG 7 Standard communications technology image resolution Process control visualization

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Semantic based categorization, browsing and retrieval in medical image databases

Semantic based categorization, browsing and retrieval in med...

引用

IEEE International conference on image processing

作者： A. Mojsilovic J. Gomes IBM T. J. Watson Research Center Hawthorne NY USA IBM T. J. Watson Research Center Hawthorne NY

Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods cannot be transferred to other medical applications since different imaging modalities require different types of processing. To enable content-based queries in diverse collections of medical images, the retrieval system must be familiar with the current image class prior to the query processing. We describe a novel approach for the automatic categorization of medical images according to their modalities. We propose a semantically based set of visual features, their relevance and organization for capturing the semantics of different imaging modalities. The features are used in conjunction with a new categorization metric, enabling "intelligent" annotation, browsing/searching of medical databases. Our algorithm provides basic semantic knowledge about the image, and may serve as a front-end to the domain specific medical image analysis methods. To demonstrate the effectiveness of our approach, we have designed and implemented an Internet portal for browsing/querying online medical databases, and applied it to a large number of images. Our results demonstrate that accurate categorization can be achieved by exploiting the important visual properties of each modality.

关键词： Information retrieval image retrieval Biomedical imaging image databases Content based retrieval visual databases Magnetic resonance imaging Medical services Biomedical equipment Query processing

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