Detection of small-sized insect pest in greenhouses based on multifractal analysis

摘要: A new application of multifractal analysis for the detection small-sized pests (e.g., whitefly) from leaf surface images in situ is proposed this paper. Multifractal was adopted segmentation whitefly based on local singularity and global image characters with regional minima selection strategy. According to dimension, candidate blobs whiteflies were initially defined image. The utilized feature extraction areas performance compared that fixed threshold. Subsequently, most false alarms veins decreased by consideration size shape whiteflies. Experiments conducted field a greenhouse. Detection results other adaptive algorithms. Values F measuring precision recall scores higher (88.6%) than conventional methods such as Watershed (60.2%) Efficient Graph-based Image Segmentation (EGBIS; 42.8%). true-positive rate 86.9% false-positive at minimum level 8.2%. Overall, feasible under greenhouse conditions.