標題: Directional textures auto-inspection using discrete cosine transform
作者: Perng, Der-Baau
Chen, Ssu-Han
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: directional texture;discrete cosine transform;defect inspection;machine vision
公開日期: 2011
摘要: This paper describes a global image restoration scheme using a discrete cosine transform (DCT) that can be used to detect defects in directional textured surfaces automatically. The input spatial domain image is first transformed into the DCT domain so that the dominant directions of the texture in the input image will be compacted into the orthogonal straight lines or impulses through the direct current (DC) component of the spectrum. The linear primitives associated with the high-energies in the DCT domain are eliminated by reducing them to zero before transforming back to the spatial domain. Finally, the defects, if any, are extracted by the thresholding method. Experiments on a variety of product surfaces with directional textures such as straight, slanted, orthogonal, slanted orthogonal, and oblique linear primitives were conducted in this paper. The proposed scheme would blur directional textures and preserved only local defects if they were initially embedded in the image. Furthermore, some preliminary experiments were also conducted to demonstrate the proposed scheme was insensitive to horizontal and vertical shifting, changes in illumination, and image rotation.
URI: http://hdl.handle.net/11536/15386
http://dx.doi.org/10.1080/00207543.2010.495087
ISSN: 0020-7543
DOI: 10.1080/00207543.2010.495087
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 49
Issue: 23
起始頁: 7171
結束頁: 7187
顯示於類別:期刊論文


文件中的檔案:

  1. 000299896800012.pdf