Cellular processors in multichannel image classifiers

Multichannel Image Recovery

Cellular Tree Classifiers

The cellular tree classifier model addresses a fundamental problem in the design of classifiers for a parallel or distributed computing world: Given a data set, is it sufficient to apply a majority rule for classification, or shall one split the data into two or more parts and send each part to a potentially different computer (or cell) for further processing? At first sight, it seems impossibl...

Selection of Image Classifiers 1 Selection of Image Classifiers

An approach to classifier combination based on the concept of “dynamic classifier selection” is presented in this letter. The results are reported and they show that the proposed approach allows to develop effective image classification systems.

Selection of Image Classifiers

An approach to classifier combination based on the concept of “dynamic classifier selection” is presented in this letter. The results are reported and they show that the proposed approach allows to develop effective image classification systems.

Generalized multichannel image-filtering structures

Recent works in multispectral image processing advocate the employment of vector approaches for this class of signals. Vector processing operators that involve the minimization of a suitable error criterion have been proposed and shown appropriate for this task. In this framework, two main classes of vector processing filters have been reported in the literature. Astola et al. (1990) introduce ...