방향성 정보 척도를 이용한 영상의 픽셀분류 방법에 관한 연구

Abstract

Pixel classification is one of basic image processing issues. The general characteristics of the pixels belonging to various classes are discussed and the radical principles of pixel classification are given. At the same time, a pixel classification scheme based on image direction measure is proposed. As a typical application instance of pixel classification, an adaptive multi-level median filter is presented. An image can be classified into two types of areas by using the direction information measure, that is, smooth area and edge area. Single direction multi-level median filter is used in smooth area, and multi-direction multi-level median filter is taken in the other type of area. What's more, an adaptive mechanism is proposed to adjust the type of the filters and the size of filter window. As a result, we get a better trade-off between preserving details and noise filtering.