The 2-D maximum entropy method not only considers the distribution of the gray information, but also takes advantage of the spatial neighbor information with using the 2-D histogram of the image. As a global threshold method, it often gets ideal segmentation results even when the imageÕs signal nois
✦ LIBER ✦
Image sequence segmentation based on 2D temporal entropic thresholding
✍ Scribed by Jianping Fan; Rong Wang; Liming Zhang; Dingjia Xing; Fuxi Gan
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 471 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
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## Abstract The paper written by M. Li, S. D. Holland and W. Q. Meeker [__Applied Stochastic Models in Business and Industry__] presents statistical methods for automatic Crack detection based on vibrothermography sequence‐of‐image data. In particular, a matched filter used to increase the signal‐t