Intersecting Cortical Model Research Articles

Image information content and extraction techniques

Methods for detecting changes are discussed. The methods are pixel subtraction, edge segment matching, the dipole method, and the Intersecting Cortical Model (ICM). Image information content and the concept of changes in imagery are also discussed.

The intersecting cortical model in image processing

The Intersecting Cortical Model (ICM), or ICM algorithm, is presented. It is a reduced set of equations of the Pulse-Coupled Neural Network (PCNN) model. The ICM algorithm is especially designed for enhancing features without sharp edges or straight lines in images. The ICM is tested on a series of images of an aircraft moving in the sky in order to detect its motion. The ICM algorithm is shown to be useful even when there is a deficiency in reference points. In another test, the ICM is applied to two images taken from a helicopter over a town area.