2017
A convolutional Riemannian texture model with differential entropic active contours for unsupervised pest detection
ICASSP 2017accepted
Pest camouflages in grains or natural environment cause significant difficulties in pest detection using imaging technologies. This paper proposes a convolutional Riemannian texture with differential entropic active contours to distinguish the background regions and expose pest regions. An image tex…