Accession Number : ADA111761

Title :   Processing Cones: A Computational Structure for Image Analysis.

Descriptive Note : Interim rept.,

Corporate Author : MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION SCIENCE

Personal Author(s) : Hanson, Allen R ; Riseman, Edward M

PDF Url : ADA111761

Report Date : Dec 1981

Pagination or Media Count : 47

Abstract : A layered hierarchical parallel array architecture for image analysis applications, referred to as a processing cone, is described and sample algorithms are presented. A fundamental characteristic of the structure is its hierarchical organization into two-dimensional arrays of decreasing resolution. In this architecture, a protypical function is defined on a local window of data and applied uniformly to all windows in a parallel manner. Three basic modes of processing are supported in the cone: reduction operations (upward processing), horizontal operations (processing at a single level) and projection operations (downward processing). Complex image analysis algorithms are specified as temporal sequences of function applications. The cone structure forms the basis of a sophisticated operating system for an image analysis environment. (Author)

Descriptors :   *IMAGE PROCESSING, *PARALLEL PROCESSING, RESOLUTION, REDUCTION, HORIZONTAL ORIENTATION, IMAGES, CONICAL BODIES, ALGORITHMS, PROCESSING, OPERATION, FUNCTIONS, COMPUTATIONS, WINDOWS, ENVIRONMENTS, ORGANIZATIONS, STRUCTURES

Subject Categories : Photography

Distribution Statement : APPROVED FOR PUBLIC RELEASE