id: 05979291
dt: a
an: 05979291
au: Lee, Gyoon-Jung; Park, Ji-Hwan; Joo, Jae-Heum; Nam, Ki-Gon
ti: The size and position detection of the small target in infrared image.
so: Lee, Geuk (ed.) et al., Convergence and hybrid information technology. 5th
    international conference, ICHIT 2011, Daejeon, Korea, September
    22‒24, 2011. Proceedings. Berlin: Springer (ISBN
    978-3-642-24081-2/pbk). Lecture Notes in Computer Science 6935, 643-652
    (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: small target; facet model; multi-resolution; local maxima; infrared image
ci: 
li: doi:10.1007/978-3-642-24082-9_78
ab: Summary: In this paper, we present a technique used to detect the location
    and size of small targets in a multi-resolution image using a cubic
    facet model. The input image is divided into multi-resolution images.
    We apply the facet model and the local maxima conditions to each level
    of the multi-resolution images. We then detect the location of the
    small target. We derive the location for the maximum of the $D_2$, i.e.
    the local maxima value of the facet model, and use this for the
    location of the small target. We can detect small targets of various
    sizes in each level of the multi-resolution images. In this paper, we
    experimented using various infrared images possessing a small target.
    The conventional facet model method applies a mask. However, the
    proposed method applies a mask to the multi-resolution images. We
    verified our method by varying the mask size and altering the size of
    the small target. We found that our proposed algorithm can detect the
    location and size of the small target.
rv: