Titlebook: Image Analysis and Recognition; Third International Aurélio Campilho,Mohamed S. Kamel Conference proceedings 2006 Springer-Verlag Berlin H

Ornithologist

Self-Organizing Trees and Forests: A Powerful Tool in Pattern Clustering and Recognition, archived and analyzed, remains a monumental challenge facing today’s research community. The processing of such information, however, is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet arduous for computers. In attempting to handle oppressive vol

Lacerate

On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemesssifiers (DBCs), can be efficiently implemented. This methodology, proposed by Duin and his co-authors (see [3], [4], [5], [6], [8]), is a way of defining classifiers between the classes, and is not based on the feature measurements of the individual patterns, but rather on a suitable dissimilarity

Flatus

PALSY

Frozen-State Hierarchical Annealingscales. This poses difficulties for generating accurate samples using statistical techniques such as simulated annealing. Hierarchical methods have previously been found quite effective for such problems. In this paper, a frozen-state approach to hierarchical annealing is presented that offers over

obnoxious

Fast and Robust Filtering-Based Image Magnificationiety of magnification algorithms. However, they are either sensitive to the noise, or non-robust to the blocking artifacts, or of high computational complexity, which hence limits their utility. In this paper, we propose an alternative magnification approach utilizing a filtering-based implementatio

突襲

An Efficient Post-processing Using DCT Domain Projections Onto Convex Setss in POCS require infeasible amount of computations for practical real-time applications. In this paper, we propose an efficient non-iterative post-processing method using DCT domain POCS, namely DPOCS. In DPOCS, the inverse DCT and the forward DCT need not be performed by performing the low-pass fi

顛簸下上

Rank-Ordered Differences Statistic Based Switching Vector Filterimpulse detector named . (ROD) which is adapted to be used in color images. The switching scheme between the identity operation and the Arithmetic Mean Filter is defined using the mentioned impulse detector. Extensive experiments show that the proposed technique is simple, easy to implement and sign

ANIM

畢業(yè)典禮

Blind Blur Estimation Using Low Rank Approximation of Cepstrumn technique based on the low rank approximation of cepstrum. The key idea that this paper presents is that the blur functions usually have low ranks when compared with ranks of real images and can be estimated from cepstrum of degraded images. We extend this idea and propose a general framework for

galley

An Image Interpolation Scheme for Repetitive Structuresown pixel value is not estimated based on its local surrounding neighbourhood, but on the whole image. In particularly, we exploit the repetitive character of the image. A great advantage of our proposed approach is that we have more information at our disposal, which leads to a better reconstructio