A Fast and Adaptive Feature Extraction Method for Textured Image Segmentation

Texture 영상 분할을 위한 고속 적응 특징 추출 방법

  • 이정환 (안동대학교 컴퓨터공학과) ;
  • 김성대 (한국과학기술원 전자 및 전기공학과)
  • Published : 1991.12.01


In this paper, a fast and adaptive feature extraction algorithm for textured image segmentation is proposed. First, a conventional algorithm to extract the statistical texture features are described and we obtain the recursive equations from that conventional method and it is used for extraction of sevaral texture features. And also we propose the adaptive algorithm which extract the texture features. To evaluate the performance of proposed algorithm, we apply the proposed method to artificial texture images. From the results of computer simulation, the proposed method is superior to the conventional one.