the authors propose a run-time re-configurable architecture for local neighborhood imageprocessing. Discussion of how the new architecture can offer improved flexibility to the developer. the authors show that for a ...
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the authors propose a run-time re-configurable architecture for local neighborhood imageprocessing. Discussion of how the new architecture can offer improved flexibility to the developer. the authors show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 field programmable gate arrays, achieves similar performance, hardware resource utilization, and throughput as fully pipelined systolic array architecture
the proceedings contain 48 papers. the topics discussed include: on the effect in the convergence and quality of statistical image reconstruction for emission tomography using block-iterative algorithms;content-based ...
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ISBN:
(纸本)0769523897
the proceedings contain 48 papers. the topics discussed include: on the effect in the convergence and quality of statistical image reconstruction for emission tomography using block-iterative algorithms;content-based diagnostic hysteroscopy summaries for video browsing;automatic iris segmentation using active near infra red lighting;curvature motion for union of balls;combining methods to stabilize and increase performance of neural network-based classifiers;a linear algorithm for exact pattern matching in planar subdivisions;an improved linear-parabolic model for lane following and curve detection;performance analysis of oriented feature detectors;computing box dimensions from single perspective images in real time;document reconstruction based on feature matching;determining the appropriate feature set for fish classification tasks;simple adaptive mosaic effects;and reduction of interband correlation of landsat image compression.
FPGA-based computing boards are frequently used as hardware accelerators for imageprocessing algorithms based on sliding window operations (SWOs). SWOs are both computationally intensive and data intensive and benefi...
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FPGA-based computing boards are frequently used as hardware accelerators for imageprocessing algorithms based on sliding window operations (SWOs). SWOs are both computationally intensive and data intensive and benefit from hardware acceleration with FPGAs, especially for delay sensitive applications. the current design process requires that, for each specific application using SWOs with different size of window, image, etc.; a detail design must be completed before a realistic estimate of the achievable speedup can be obtained. We present an automated tool, sliding window operation optimization (SWOOP), that generates the estimate of speedup for a high performance design before detailed implementation is complete. the achievable speedup is determined by the area of the FPGA, or, more often, the memory bandwidth to the processing elements. the memory bandwidth to each processing element is a combination of bandwidth to the FPGA and the efficient use of on-chip RAM as a data cache. SWOOP uses analytic techniques to automatically determine the number of parallel processing elements to implement on the FPGA, the assignment of input and output data to on-board memory, and the organization of data in on-chip memory to most effectively keep the processing elements busy. the result is a block layout of the final design, its memory architecture, and a measure of the achievable speedup. the results, compared to manual designs, show that the estimates obtained usinq SWOOP are very accurate
images rendered using global illumination algorithms are considered amongst the most realistic in 3D computergraphics. However this high fidelity comes at a significant computational expense. A major part of this cos...
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ISBN:
(纸本)0769523897
images rendered using global illumination algorithms are considered amongst the most realistic in 3D computergraphics. However this high fidelity comes at a significant computational expense. A major part of this cost arises from the sampling required to eliminate aliasing errors. these errors occur due to the discrete sampling of continuous geometry space inherent to these techniques. In this paper we present a fast analytic method for predicting in advance where antialiasing needs to be computed. this prediction is based on a rapid visualisation of the scene using a GPU, which is used to drive a selective renderer We are able to significantly reduce the overall number of anitialiasing rays traced, producing an imagethat is perceptually indistinguishable from the high quality image at a much reduced computational cost.
Shading for cel animation based on images is a recent research topic in computer-assisted animation. this paper proposes an image-based shading pipeline to give a 3D appearance to a 2D character by inspecting the hand...
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ISBN:
(纸本)0769523897
Shading for cel animation based on images is a recent research topic in computer-assisted animation. this paper proposes an image-based shading pipeline to give a 3D appearance to a 2D character by inspecting the hand-drawn image directly. the proposed method estimates normal vectors on the character's outline and interpolates them over the remaining image. the method does not limit the animator's creative process and requires minimal user intervention. the resulting shading pipeline can be easily applied to photorealistic and non-photorealistic 2D cel animation. In the proposed method, the animator can easily simulate environment reflections on the surface of 2D reflecting objects. As far as the authors are concerned, the proposed technique is the only one in the literature that is genuinely an image-based method for 2D animation.
In hospital practice, several diagnostic hysteroscopy videos are produced daily. these videos are continuous (non-interrupted) video sequences, usually recorded in full. However, only a few segments of the recorded vi...
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ISBN:
(纸本)0769523897
In hospital practice, several diagnostic hysteroscopy videos are produced daily. these videos are continuous (non-interrupted) video sequences, usually recorded in full. However, only a few segments of the recorded videos are relevant from the diagnosis/prognosis point of view, and need to be evaluated and referenced later this paper proposes a new technique to identify clinically relevant segments in diagnostic hysteroscopy videos, producing a rich and compact video summary which supports fast video browsing. Also, our approach facilitates the selection of representative key-frames for reporting the video contents in the patient records. the proposed approach requires two stages. Initially, statistical techniques are used for selecting relevant video segments. then, a post-processing stage merges adjacent video segments that are similar reducing temporal video over-segmentation. Our preliminary experimental results indicate that our method produces compact video summaries containing a selection of clinically relevant video segments. these experimental results were validated by specialists.
In a recent paper [1], a new type of watershed (WS) transfbrm was introduced: the tie-zone watershed (TZWS). this region-based watershed transform does not depend on arbitrary implementation and provides a unique (and...
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ISBN:
(纸本)0769523897
In a recent paper [1], a new type of watershed (WS) transfbrm was introduced: the tie-zone watershed (TZWS). this region-based watershed transform does not depend on arbitrary implementation and provides a unique (and thereby unbiased) optimal solution. Indeed, many optimal solutions are sometimes possible when segmenting an image by VVS. the TZWS assigns each pixel to a catchment basin (CB) if in all solutions it belongs to this CB. Otherwise, the pixel is said to belong to a tie-zone (TZ). An efficient algorithm computing the TZWS and based on the image Foresting Transform (IFT) was also proposed. In this article, we define the new concept of "bottle-necks" in the watermerging paradigm. Intuitively, the bottlenecks are the first contact points between at least two different wave fronts. the), are pixels in the image where different colored waters meet and tie and from which may begin, therefore, the tie-zones. they represent the origin points or the access of the tie-zones (regions that cannot be labeled without making arbitrary choices). If they are preferentially assigned to one or another colored water according to an arbitrary processing order as occurs in most of watershed algorithm, art entire region (its influence zone -the "bottle"!) is conquered together the bottlenecks play therefore an important role in the bias that could be introduced by a WS implementation. It is why we show in this paper that both tie-zones and bottlenecks analysis can be associated withthe robustness of a segmentation.
Stacked generalization refers to any learning schema that consists of multiple levels of training. Level zero classifiers are those that depend solely on input data while classifiers at other levels may use the output...
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Relaxation is widely recognized as a useful tool for providing convergence in block-iterative algorithms [1], [2], [6]. In the present article we give new results on the convergence of RAMLA (Row Action Maximum Likeli...
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