| Defence Science Journal | |
| Unique Measure for Geometrical Shape Object Detection-based on Area Matching | |
| Debasis Chaudhuri1  I. Sharif1  V. Gohri1  N. K. Kushwaha1  | |
| [1] Defence Electronics Application Laboratory, Dehradun | |
| 关键词: Measure; shape detection; pattern recognition; circular fit; elliptic fit; rectangular fit; | |
| DOI : | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Defence Scientific Information & Documentation Centre | |
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【 摘 要 】
Object classifier often operates by making decisions based on the values of several shape properties measured from an image of the object. The paper introduces a unique definition of measure for 2-D geometrical object shape detection. Using this definition different object shapes can be identified on the basis of their degree of fitness parameter. Basically, we have fitted a 2-D polygon/curve on the object as a best fitted polygon/curve and computed the parameter degree of fitness which is the ratio of the matching area and non-matching area due to the fitted polygon/curve and the object both. The results show the effectiveness of the proposed measure. Defence Science Journal, 2012, 62(1), pp.58-66 , DOI:http://dx.doi.org/10.14429/dsj. 62.942
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010140206ZK.pdf | 843KB |
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