A software tool for real-time low-level vision

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.