Automatic thresholding for defect detection

Pattern Recognition Letters

Volumn 27, Issue 14, 2006, Pages 1644-1649

  Ng, Hui Fuang ^a  

^a ASIA UNIVERSITY   (Taiwan)

Author keywords

Automatic thresholding; Defect detection

Indexed keywords

COMPUTER VISION; DEFECTS; IMAGE PROCESSING; MODAL ANALYSIS; QUALITY CONTROL;

AUTOMATIC THRESHOLDING; DEFECT DETECTION; HISTOGRAM; OTSU METHOD;

PATTERN RECOGNITION SYSTEMS;

EID: 33747886893     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.03.009     Document Type: Article

References (8)

1. Glasbey C.A. An analysis of histogram-based thresholding algorithms. CVGIP: Graphical Models and Image Processing 55 (1993) 532-537
2. Lee S.U., Chung S.Y., and Park R.H. A comparative performance study of several global thresholding techniques for segmentation. Computer Vision, Graphics and Image Processing 52 2 (1990) 171-190
3. Liao P.S., Chen T.S., and Chung P.C. A fast algorithm for multilevel thresholding. Journal of Information Science and Engineering 17 (2001) 713-727
4. Newman T.S. A survey of automated visual inspection. Computer Vision and Image Understanding 61 2 (1995) 231-262
5. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems Man Cybernet SMC-9 1 (1979) 62-66
6. Sahoo P.K., Soltani S., Wong A.K., and Chan Y.C. A survey of thresholding techniques. Computer Vision, Graphics and Image Processing 41 (1988) 233-260
7. Sezgin M., and Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 13 1 (2004) 146-156
8. Yasnoff W.A., Mui J.K., and Bacus J.W. Error measures for scene segmentation. Pattern Recognition 9 (1977) 217-231