6533b7d9fe1ef96bd126c0d8

RESEARCH PRODUCT

Distinguishing Onion Leaves from Weed Leaves Based on Segmentation of Color Images and a BP Neural Network

Pierre GoutonYun-an HuJunwei Lu

subject

Artificial neural networkbusiness.industryColor imageComputer scienceComputer visionImage processingSegmentationArtificial intelligenceImage segmentationbusinessWeed

description

A new algorithm to distinguish onion leaves from weed leaves in images is suggested. This algorithm is based on segmentation of color images and on BP neural network. It includes: discarding soil for conserving only plants in the image, color image segmentation, merging small regions by analyzing the frontier rates and the averages of color indices of the regions, at last a BP neural network is used to determine if the small regions belongs to onion leaf or not. The algorithm has been applied to many images and the correct identifiable percents for onion leaves are between 80%~ 90%.

yearjournalcountryeditionlanguage
2006-01-01
https://doi.org/10.1007/11760023_51