Translator Disclaimer
Paper
25 September 1998 Neural network predicts carrot volume with only three images
Author Affiliations +
Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323576
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
Abstract
A mechanism turned a vision camera around a fixed carrot taking 100 images of it. A 3D reconstruction finite element algorithm reproduced the volume using finite area triangles and morphological operations to optimize memory utilization. Volume from several carrots were calculated and correlated against real volume achieving a 98% success rate. Three images 120 degrees apart were acquired and the main features extracted. A neural network system was trained using the features, increasing the measuring speed and obtaining together with a regression algorithm an accuracy of 95% in predicting the real volume.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Federico Hahn and Sergio Sanchez "Neural network predicts carrot volume with only three images", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323576
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top