Paper Info
Title
Design and implementation of a low-level image segmentation architecture-LISA
Abstract
The architectural and implementation issues of a prototype of a low-level image segmentation architecture (LISA) are described. LISA performs real-time gray-level image segmentation. A decision-theoretic pattern recognition approach divided into feature extraction and decision analysis parts is used. The feature extraction part is based on extracting local and global descriptions of the image pixels. In the decision analysis part, the pixels are classified into one of the user-selected classes based on the extracted features. One of the main properties of the approach is that the feature extraction and decision analysis are performed in real time. The status of the hardware and software development of the LISA prototype for a variety of industrial inspection applications is described. The LISA architecture is being implemented using state-of-the-art VLSI technology
Year
DOI
Venue
1990
10.1109/ICPR.1990.119392
Pattern Recognition, 1990. Proceedings., 10th International Conference  
Keywords
Field
DocType
vlsi,automatic optical inspection,computer vision,computerised pattern recognition,digital signal processing chips,parallel architectures,lisa,decision analysis,feature extraction,image pixels,inspection,low-level image segmentation architecture,parallel architecture,pattern recognition,software development,programming,prototypes,pixel,image segmentation,hardware,real time,pattern analysis
Decision analysis,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Software prototyping,Image segmentation,Feature extraction,Pixel,Artificial intelligence,Very-large-scale integration,Software development
Conference
Volume
Citations 
PageRank 
ii
4
0.79
References 
Authors
3
6
Name
Order
Citations
PageRank
Blanz, W.-E.1236.11
C. B. Shung2839.59
c e cox340.79
w greiner440.79
Byron Dom52600825.93
Dragutin Petkovic661093.80