A color clustering technique for image segmentation
Computer Vision, Graphics, and Image Processing
Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
A physical approach to color image understanding
A physical approach to color image understanding
Page segmentation and classification
CVGIP: Graphical Models and Image Processing
Toward color image segmentation in analog VLSI: algorithm and hardware
International Journal of Computer Vision
The Role of Model-Based Segmentation in the Recovery of Volumetric Parts From Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation and Factorization-Based Motion and Structure Estimation for Long Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Hi-index | 0.00 |
This paper presents a software tool-methodology, called ORASIS, for near real-time and real-time user driven segmentation of color images or sequence of images (video) by using a low cost approach (a low cost camera and a PC). The segmentation approach used here 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.