이치화 영상에 대한 계조치 동시발생행렬을 이용한 타이어 접지 패턴의 분류

Tire tread pattern classification using gray level cooccurrence matrix for the binary image

Texture is one of the important characteristics that has been used to identify objects or regions of interest in an image. Tire tread patterns can be considered as a kind of texture, and these are classified with a texture analysis method. In this sense, this paper proposes a new algorithm for the classification of tire tread pattern. For the classification, cooccurrence matrix for the binary image is used. The performances are tested by experimentally 8 different tire tread pattern and the robustness is examined by including some kinds on noise.