Threshold selection using estimates from truncated normal distribution
作者： J.-S. Lee , M.C.K. Yang
DOI: 10.1109/21.31046
关键词:
摘要: Two situations in which the image gray-level histogram cannot be used for threshold determination are: (1) situation background noise by itself has a multimodal distribution; and (2) object is so small that its contribution to overwhelmed portion even if distribution unimodal. To alleviate these two undesirable conditions, local average, central limit theorem, statistical theory truncated data analysis are to: make part of appear unimodal; cut off large becomes more prominent. The distributions then estimated find an optimum threshold. >
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