Detection algorithm for multiple rice seeds images

F. Cheng; Y. B. Ying

doi:10.1117/12.685101

23 October 2006 Detection algorithm for multiple rice seeds images

F. Cheng, Y. B. Ying

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63810Z (2006) https://doi.org/10.1117/12.685101
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

The objective of this research is to develop a digital image analysis algorithm for detection of multiple rice seeds images. The rice seeds used for this study involved a hybrid rice seed variety. Images of multiple rice seeds were acquired with a machine vision system for quality inspection of bulk rice seeds, which is designed to inspect rice seeds on a rotating disk with a CCD camera. Combining morphological operations and parallel processing gave improvements in accuracy, and a reduction in computation time. Using image features selected based on classification ability; a highly acceptable defects classification was achieved when the algorithm was implemented for all the samples to test the adaptability.

Citation Download Citation

F. Cheng and Y. B. Ying "Detection algorithm for multiple rice seeds images", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810Z (23 October 2006); https://doi.org/10.1117/12.685101

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