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A computational model of neural contour processing: figure-ground segregation and illusory contours

A computational model of neural contour processing: figure-g...

引用

Proceedings of the From Perception to Action conference

作者： F. Heitger R. von der Heydt O. Kubler Communication Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Neuroscience Johns Hopkins School of Medicine Baltimore MD USA

We present a computational model of contour processing that was suggested by neurophysiological recordings from the monkey visual cortex. The model employs convolutions and nonlinear operations, but no feedback loops. Contours are defined by the local maxima of the responses of a contour operator that sums a representation of contrast borders and a "grouping signal". The grouping consists in convolving a representation of "key points", such as T-junctions, corners, and line ends, with a set of orientation selective kernels, and a nonlinear pairing operation. The grouping scheme is selective according to whether the configuration of key points is consistent with the interpretation of occlusion. The resulting contour representation includes an indicator of figure ground direction. We show: that the model reproduces illusory contours in accurate agreement with perception; and generates representations of occluding contours on images of natural scenes that are more complete and less cluttered by spurious connections of foreground and background than those obtained by conventional edge detection operators.

关键词： Computational modeling Layout image edge detection Brain modeling communications technology Laboratories Electronic mail Convolution Feedback loop Kernel

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Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

Digital Image Processing and Visual Communications Technolog...

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Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

ISBN: (纸本)0819410209

This conference proceedings contains 23 papers. The topics discussed are earth imagery, remote sensing, geographical information systems, multispectral imagery, map databases, image databases, image storage and retrieval, visualization, environmental monitoring, forest monitoring, ocean monitoring, image processing, image analysis, neural network applications, feature extraction, computer vision, vision algorithms, and learning algorithms.

关键词： Remote sensing

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SYMMETRY-BASED image SEGMENTATION

SYMMETRY-BASED IMAGE SEGMENTATION

引用

conference on Video communications and PACS for Medical Applications

作者： CICCONI, P KUNT, M EPFL ECUBLENS SIGNAL PROC LABCH-1015 LAUSANNESWITZERLAND

ISBN: (纸本)0819412236

In this work, we present a technique which suggests the use of symmetry to reduce the redundancy in images. A symmetry-based image segmentation and coding scheme is described. A segmentation technique is analyzed, and applied on natural images, performing their efficient partition. In order to find symmetries in regions of any shape, the concept of axes of symmetry is generalized to skeletons of symmetry, dividing the regions into two symmetric subparts by the introduction of the Medial Axis Transformation of the regions. Each subpart of the regions is then linearly predicted with respect to the skeletons. An efficient coding strategy specifying the shape and the luminance of the regions is described. Results on natural images show that the described technique outperforms the more classical second generation image coding methods in terms of visual quality.

关键词： image segmentation image compression image quality image processing algorithms and systems visualization Algorithm development Error analysis Quantization image processing Spatial analysis

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HVS-Weight progressive image transmission using the lapped orthogonal transform

HVS-Weight progressive image transmission using the lapped o...

引用

1993 IEEE International conference on communications

作者： Queiroz, Ricardo L. Rao, K.R. Univ of Texas at Arlington Arlington TX United States

ISBN: (纸本)0780309510

Progressive transmission of images based on lapped orthogonal transform (LOT), adaptive classification and human visual sensitivity (HVS) weighting is proposed. HVS weighting for LOT is developed using a general technique that can be applied to any orthogonal transform. The method is compared with discrete cosine transform (DCT) based progressive image transmission (PIT). It is shown that the LOT based PIT yields subjectively improved images compared to those based on DCT.

关键词： image processing

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image-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOGICAL SEGMENTATION

IMAGE-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOG...

引用

conference on Video communications and PACS for Medical Applications

作者： TORRES, L SALEMBIER, P MARQUES, F HIERRO, P UPC ETSITDEPT SIGNAL THEORY & COMMUNBARCELONASPAIN

ISBN: (纸本)0819412236

The objective of the paper is to present a new object based image coding technique using morphological segmentation. These are the first results of a final objective of proposing a completely new coding/decoding scheme for storage and transmission applications based on Mathematical Morphology. The paper presents a new object based image coding algorithm that involves three main processing steps: segmentation, coding of contours and coding of the inside. The three fundamental coding steps of our approach work on a multiscale representation of the data. The coding of contours represents the shape and location of the region and is based on techniques relying on chain codes. The coding of inside consists in modeling the gray level function of the image and in filling each region with this model. Orthogonal polynomials are used for inside coding and bit allocation techniques are developed such that efficient compression rates are obtained. Several computer generated images are presented that show good visual results for a variety of different compression ratios. The techniques can also be applied to image sequences. Current research is under way to propose new coding techniques for both the contour and the inside coding using Mathematical Morphology.

关键词： image segmentation image compression image processing algorithms and systems Chromium image quality Feature extraction Mathematical morphology image processing Receivers visualization

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SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

引用

Meeting on visual communications and image Communication 93

作者： MACQ, B COMES, S MERTES, JY QUELUZ, MP UNIV CATHOLIQUE LOUVAIN TELECOMMUN & TELEDETECT LABB-1348 LOUVAINBELGIUM

ISBN: (纸本)0819413690

In standard DCT coding schemes like MPEG, the sequences compression is achieved by motion compensation, transformation, quantization, and entropy coding. In this paper, we have followed the same path by adapting to the image signal the elements of the coding scheme. The motion compensation is achieved by a block-matching method, where the size of the blocks is adapted to the signal. Great attention has been paid to the relevance of the motion field. Combined with the motion compensation, the two fields of each frame are merged, taking into account the measured motion vectors, to compose a pseudo-progressive frame. The encoding is applied to this `motion-compensated progressive' frame. A wavelet decomposition is then applied on each (inter or intra) frame. Such a transform, intrinsically owning linear- phase and perfect reconstruction properties, has been optimized for maximizing a perceptually weighted coding gain. The wavelet coefficients are thereafter vector-quantized, in order to reach the maximum perceptual SNR : frequency weighting is taken into account. The relevance of the measured vector field allows a precise spatio-temporal quantization optimization. The vectors are entropy coded taking into account the remaining inter-band dependence, by an adapted entropy code. Results obtained from 1 Mbit/s to 8 Mbit/s are shown for moving sequences at the conference.

关键词： Motion estimation Motion measurement image compression Quantization Wavelets Binary data Linear filtering Optical filters Computer programming Signal to noise ratio

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HIERARCHICAL TRANSMISSION OF PICTURE-SIGNALS ON A MAN

HIERARCHICAL TRANSMISSION OF PICTURE-SIGNALS ON A MAN

引用

conference on Video communications and PACS for Medical Applications

作者： MACQ, B PISCAGLIA, P LALOUX, A UNIV CATHOLIQUE LOUVAIN B-1348 LOUVAINBELGIUM

ISBN: (纸本)0819412236

Picture archiving and communication systems (PACS) have to handle a lot of moving or still images services with different resolution levels (HDTV-like, TV-like and lower resolutions), quality requirements (from acceptable visual quality to lossless) and different priorities. In this paper we present a new system for the integration of hierarchical images transmission in a broadband network based on the DQDB protocol (IEEE 802.6 standard). This system is based on the combination of two new tools. First we have designed a multiresolution/multiquality image coding scheme based on wavelet transforms. The main original feature of the algorithm is that it allows a multiresolution lossless access to images. A greater compression ration is possible at the price of graceful degradations. Secondly, we have implemented an improved priority mechanism in the DQDB protocol. The aim was that, in case of network overload, the emissions lose quality but are always maintained. A simulation of the implementation of such a system for the handling of the communications inside a hospital is also presented.

关键词： image compression image resolution Quantization Picture Archiving and Communication System Wavelet transforms Signal processing visualization Surveillance Telecommunications Scanners

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MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

引用

conference on Computer Vision for Industry

作者： SKORDAS, T DEPAOLI, S ITMI (France) GEC (United Kingdom) INRIA (France) AIVRU (United Kingdom) LTIRF-INPG (France)

ISBN: (纸本)0819412384

MOVE is one of the ESPRIT III OMI feasibility studies projects is Vision/Robotics for industrial applications. The objective of MOVE is to study a modular environment specifically designed for the field of Computer Vision, which permits the integration of heterogeneous processors and of specific software. This environment is open -- it allows integration of existing and future processors, actuators and visual sensors -- and it facilitates communication with the external world. It is used directly in the design of a set of industrial vision applications which correspond to real requirements and therefore it facilitates product development and make it cost effective. There are many areas of industry and commerce where application of machine vision would make an important impact on productivity and product quality, but the progress has been slow because of the lack of a suitable high-performance low-cost hardware. This paper gives some elements on how MOVE intends to provide the needed solution.

关键词： Machine vision Telecommunications Software development Algorithm development Computer vision technology Data communications Operating systems Standards development Digital signal processing image processing

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Block adaptive 3-D subband coding of image sequences

Block adaptive 3-D subband coding of image sequences

引用

IEEE International conference on communications (ICC)

作者： W. Li M. Kunt Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

A video coding method is proposed which is based on 3-D subband decomposition and adaptive selection of small blocks in each subband. The influence of energy threshold and block size on the coding performance is discu... 详细信息

关键词： image coding image sequences Filter bank Humans Discrete cosine transforms Band pass filters Pixel Block codes Adaptive signal processing Video signal processing

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Improvements on stochastic vector quantization of images

Improvements on stochastic vector quantization of images

引用

1993 IEEE International conference on Acoustics, Speech, and Signal processing

作者： L. Torres J. Salillas Department of Signal Theory and Communications UPC Barcelona Spain

A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.< >

关键词： Stochastic processes Vector quantization Clustering algorithms Speech coding image coding Process design Algorithm design and analysis Statistics Pixel Code standards

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