Parameter Setting of Center Weighted Median Filter using HOG Feature Distance

Mitsuharu Matsumoto


Parameter setting, Center weighted median filter, Histograms of Oriented Gradients, Subjective evaluation


This paper describes parameter setting of center weighted median filter using Histograms of Oriented Gradients (HOG) feature distance. Although parameter setting problem is generally solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence, it is not always easy to set such objective evaluation functions when we handle a single-channel filtered image because we only have an image. On the other hand, even when we cannot employ objective assumptions, we sometimes know that an image includes some subjective information. Based on the above prospects, we consider HOG feature vectors of the human images and the filter output of center weighted median filter, and propose feature distance based parameter setting to use the subjective information. Experimental results show that the proposed approach has a potential to handle the parameter setting of center weighted median filter.

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