| 引用本文: | 龙甫荟 ，郑南宁，张晓缋.基于多层感知遗传算法的图象分割新方法[J].控制理论与应用,1998,15(2):232~236.[点击复制] |
| LONG Fuhui and ZHENG Nanning，ZHANG Xiaohui.A New Image Segmentation Method Based on Genetic Algorithm of Multilayer Perception[J].Control Theory and Technology,1998,15(2):232~236.[点击复制] |
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| 基于多层感知遗传算法的图象分割新方法 |
| A New Image Segmentation Method Based on Genetic Algorithm of Multilayer Perception |
| 摘要点击 978 全文点击 476 投稿时间：1996-06-17 修订日期：1997-05-12 |
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| DOI编号 |
| 1998,15(2):232-236 |
| 中文关键词 图象分割 遗传算法 多分辩率 |
| 英文关键词 image segmentation genetic algorithm multiresolution |
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| 中文摘要 |
| 本文提出了一种新的灰度图象分割方法。该方法模拟了人类视类由粗到细的分割过程，针对图象中各位置的不同内容采用不同的细节分辩率，形成多层感知的塔式结构；而在每一分辩率层上，采用小生境的遗传算法进行图象分割，使整个算法具有较强的鲁棒法、适用性、非监督性及高度的并行性，通过与单层遗传分割算法相对比，显示了该方法具有更好的分割效果。 |
| 英文摘要 |
| To our best knowledge, classical image segmentation methods are serial in essence, with poor robustness and limited application field. Genetic image segmentation algorithm was proposed in recent years, which can overcome those drawbacks in certain extent, but with single resolution, regions with different extent of details can not achieve good segmentation results simultaneously. We propose in this paper a new image segmentation method to solve this problem. It is based on multiresolution concept with multilayer structure. On each layer, genetic method is used to achieve segmentation result. Then from coarse to fine, the final result can be obtained. The whole process is proved to be robust and parallel. Compared with genetic segmentation method with single resolution, it can achieve better results. |
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