A cortical structure for real world image processing
Jörg Kopecz · 2002
Neural architecture as found in the mammalian visual cortex is used for visual processing of real world camera images. The neural architecture used does not refer to classical neural nets but to more global characteristics such as the typical receptive field characteristics, two-dimensional cortical structure, local operations and topographic arrangement of cells. The self-organization algorithm analyzed and named elastic field algorithm is an alternative to the Kohonen model. Known facts from image processing are included in the model to achieve high performance.>