Titlebook: Computer Analysis of Images and Patterns; 11th International C André Gagalowicz,Wilfried Philips Conference proceedings 2005 Springer-Verla

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Cheryl V. Nikodem,Blessing Silaigwanars or with conventional public image database tools. Simulation studies reported in the paper indicate that the proposed CFA indexing approach does not affect the performance of the demosaicking methods which produce full-color images that are visually identical to those obtained by demosaicking of the non-indexed CFA data.

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Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distributio set. Using a set of test images, we determine the fraction of normal heads in each image and compare it with the result of expert classification. This yields an absolute error below 0.25 in the 89% of the samples.

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https://doi.org/10.1007/978-3-540-77913-1kground for the purpose of video background removal to capture motion in a scene. Our method is based on level-of-detail (LOD) . Canny edge maps and graph-based routing operations on the LOD maps. We generated modified Canny edge maps by computing intensity derivatives in a normal direction of a pre

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Shabat polynomials and harmonic measure, and their invariance to rotation is achieved by multiplicative phase cancellation. Unlike earlier moment invariants they explicitly consider the degree of symmetry of the objects. Thanks to this, they do not vanish on symmetric objects and are able to recognize them.

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Yet another introduction to rough paths,nizing it thanks to a simple property of convex hull. A linear method to decompose a thick curve into strict fuzzy segments is also given. The quality of decomposition can be easily controlled by setting two threshold values: the maximum order and the minimum density of the fuzzy segments. The algor

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