標題: Window-size determination for granulometrical structural texture classification
作者: Jan, SR
Hsueh, YC
資訊工程學系
Department of Computer Science
關鍵字: granulometry;local granulometry size distribution;window size;structural texture;texture periodicity;covariance;co-occurrence matrix
公開日期: 1-四月-1998
摘要: In this paper we present a method to predict the window size when determining the local granulometry for a structural texture image set. The proposed method is based on the concept of periodicity property of structural texture images. It suggests that one may choose the minimum odd number not less than the maximum periods of texture images as a window size. (C) 1998 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/11536/32716
ISSN: 0167-8655
期刊: PATTERN RECOGNITION LETTERS
Volume: 19
Issue: 5-6
起始頁: 439
結束頁: 446
顯示於類別:期刊論文


文件中的檔案:

  1. 000075054100007.pdf