Title :
Computer assisted seed identification
Author_Institution :
PowerVision, Aerotek, CSIR, Pretoria, South Africa
Abstract :
In this paper the author presents SIS, a computer assisted seed identification system developed by the CSIR. SIS assists seed analysts to identify unknown seeds. SIS uses digital image processing as a front end to an expert system connected to a comprehensive database containing feature vectors describing previously trained seeds to identify unknown seeds
Keywords :
agriculture; expert systems; feature extraction; image classification; image segmentation; visual databases; CSIR; computer assisted seed identification; correlation classifier; database; digital image processing; expert system; feature extraction; feature vectors; image classification; image preprocessing; image segmentation; previously trained seeds; unknown seeds identification; Africa; Cameras; Crops; Digital images; Hard disks; Hardware; Image databases; Image processing; Microscopy; Testing;
Conference_Titel :
Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-4756-0
DOI :
10.1109/ISIE.1998.711677
