Titlebook: Image Analysis and Recognition; 4th International Co Mohamed Kamel,Aurélio Campilho Conference proceedings 2007 Springer-Verlag Berlin Heid

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书目名称Image Analysis and Recognition影响因子(影响力)




书目名称Image Analysis and Recognition影响因子(影响力)学科排名




书目名称Image Analysis and Recognition网络公开度




书目名称Image Analysis and Recognition网络公开度学科排名




书目名称Image Analysis and Recognition被引频次




书目名称Image Analysis and Recognition被引频次学科排名




书目名称Image Analysis and Recognition年度引用




书目名称Image Analysis and Recognition年度引用学科排名




书目名称Image Analysis and Recognition读者反馈




书目名称Image Analysis and Recognition读者反馈学科排名

嘲弄

Synovial-Fluid

An Approach for Extracting Illumination-Independent Texture Featuresation and performance degradation. In this paper we present an approach that will be helpful to overcome such problems when the light comes from a directional source, such as halogen projectors, LED arrays, etc.

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New Computational Methods for the Construction of “Darcyan” Biological Coordinate Systemsoduced the interior Darcyan coordinate system by means of level set evolution. Examples show the ability of the proposed algorithm to handle the complex geometry of the initial boundary such as significant oscillations, corners and cusps.

faculty

A New Image Scaling Algorithm Based on the Sampling Theorem of Papoulismmon scaling algorithms and two measures of quality are used: the standard deviation for evaluation of the blur, and the curvature for evaluation of the aliasing. The results presented here show that our algorithm gives the best images with very few aliasing, good contrast, good edge preserving and few blur.

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Image Decomposition and Reconstruction Using Single Sided Complex Gabor Wavelets than in image reconstruction. In an attempt to reduce the singularity of the Gabor matrix and produce reliable image reconstruction, in this paper, we show that a single-sided Gabor function can accomplish both, with the reconstruction residual error being very small (PSNR of at least 300 dB).

antedate

Ophthalmologist

Reconstruction of Low-Resolution Images Using Adaptive Bimodal Priorseness of the proposed bimodal prior and show the visual superiority of our reconstruction scheme to other traditional interpolation and reconstruction methods for images with a strong colour modality like cartoons: noise and compression artefacts are removed very well and our method produces less blur and other annoying artefacts.

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伪善