id: 05933342
dt: j
an: 05933342
au: Heng, Zhang
ti: Analysis of infrared images based on grey system and neural network.
so: Kybernetes 39, No. 8, 1366-1375 (2010).
py: 2010
pu: Emerald, Bradford, West Yorkshire
la: EN
cc: 
ut: cybernetics; image processing; infra-red devices; neural nets; systems and
    control theory
ci: 
li: doi:10.1108/03684921011063673
ab: Summary: Purpose - The purpose of this paper is to develop a system to
    analyse the characteristics of infrared objects.
    Design/methodology/approach - According to the gray scale of image
    pixel by the image entropy, gray scale estimating is carries on to
    construct the neural networks. And then the grey relational analysis
    and grey clustering methods are applied to filter the possible object.
    The target is predicted through image segmentation pretreatment based
    on the forecasting value by grey system and assigned corresponding
    mark. The forecasting precision is greatly elevated by GM (1, 1) model.
    Findings - The paper illustrates that, based on the analysis and its
    experimental results, this system has a good recognition rate for
    infrared target. Research limitations/implications - This paper
    provides a way to grasp the minutial feature of the image. The
    filtering operation based on pixel level provided auto-adapted
    filtering with a new stage. Practical implications - Applications of
    grey theory deepened the content of detecting infrared targets and
    enriched technology of image processing. Originality/value - This
    system introduces an effective method for detecting infrared targets.
rv: