An object-oriented language for image and vision execution (OLIVE)

Abstract

The object-oriented language for image and vision environments (OLIVE), which is intended to make it easier to develop efficient, portable applications is presented. OLIVEs principal object types, called images and locuses (abstractions of point sets and geometric entities), and their corresponding operations, including the use of locuses as generalized indexes for images, are defined. Several examples of OLIVE for typical image processing and machine vision tasks are presented. Issues concerning the implementation of OLIVE, including a hardware architecture that simplifies the implementation while enhancing its performance, are discussed.