A software tool for real-time low-level vision

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