Title :
Evolutionary image processing
Author :
Liu, Jiming ; Tang, Y.Y.
Author_Institution :
Dept. of Comput. Studies, Baptist Univ., Kowloon Tong, Hong Kong
Abstract :
Presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are mathematically defined in terms of the gray-level intensity at the image pixels. The optimality of image feature extraction is to efficiently find all the feature pixels from a given image. In the proposed approach, the autonomous agents, being distributed computational entities, operate directly in the 2D lattice of a digital image, and exhibit a number of reactive behaviours in order to effectively locate the feature pixels
Keywords :
feature extraction; genetic algorithms; image recognition; software agents; 2D digital image lattice; distributed computational entities; evolutionary autonomous agents; evolutionary image processing; gray-level intensity; image feature extraction; reactive behaviour; self-reproduction; Autonomous agents; Computer vision; Digital images; Evolutionary computation; Feature extraction; Image edge detection; Image processing; Intelligent agent; Lattices; Pixel;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699726
