A software tool for real-time low-level vision

Author

Goldman, D. ; Bourbakis, N.

Author_Institution

Dept. of Electr. Eng., Binghamton Univ., NY, USA

fYear

1999

fDate

1999

Firstpage

131

Lastpage

139

Abstract

This paper presents a software tool-methodology called ORASIS, for near real-time and real-time user driven segmentation of color images or sequences of images (video) by using a low cost approach (a low cost camera and a PC). The segmentation approach used is based on fuzzy-like reasoning and a color reflection. The ORASIS tool-methodology provides a human-like perception modeling in combination with fast smoothing, region growing and edge detection. Results on several images are provided to demonstrate the tool´s adaptive segmentation capabilities based on the user´s requests

Keywords

edge detection; image colour analysis; image segmentation; image sequences; real-time systems; uncertainty handling; ORASIS; color images; color reflection; edge detection; fast smoothing; fuzzy-like reasoning; real-time low-level vision; real-time user driven segmentation; region growing; sequence of images; software tool; Cameras; Color; Colored noise; Costs; Fuzzy reasoning; Image segmentation; Low pass filters; Machine vision; Smoothing methods; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on

Conference_Location

Chicago, IL

ISSN

1082-3409

Print_ISBN

0-7695-0456-6

Type

conf

DOI

10.1109/TAI.1999.809778

Filename

809778