| 基于小波变换的图像过渡区提取与分割 |
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| 引用本文： | 闫成新,桑农,张天序.基于小波变换的图像过渡区提取与分割[J].计算机工程与应用,2004,40(18):29-31. |
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| 作者姓名： | 闫成新 桑农 张天序 |
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| 作者单位： | 华中科技大学图像识别与人工智能研究所,武汉,430074;图像信息处理与智能控制教育部重点实验室,武汉,430074 |
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| 基金项目： | 国家自然科学基金重点资助项目(批准号:60135020) |
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| 摘 要： | 复杂背景下目标的准确分割是自动目标识别中的关键技术之一。该文将基于过渡区提取的图像分割技术应用于自然纹理场景的图像分割,提出了基于小波变换的过渡区提取与分割算法,克服了以往过渡区直接提取方法的不足。实验结果表明,该方法用于自然纹理场景下的目标分割具有很好的分割效果。
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| 关 键 词： | 小波变换 过渡区 图像分割 阈值 |
| 文章编号： | 1002-8331-(2004)18-0029-03 |
Wavelet Transform based Image Transition Region Extraction and Segmentation |
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| Yan Chengxin Sang Nong Zhang Tianxu.Wavelet Transform based Image Transition Region Extraction and Segmentation[J].Computer Engineering and Applications,2004,40(18):29-31. |
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| Authors: | Yan Chengxin Sang Nong Zhang Tianxu |
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| Abstract: | Accurate segmentation of targets on complex background is one of the key techniques in Automatic Target Recognition(ATR).Transition region extraction based image segmentation technique is used to deal with segmentation problems on natural textual images in this paper.A novel wavelet transform based image transition region extraction and segmentation algorithm is proposed,which conquer the faults of the traditional transition region extraction method.Experi-mental results demonstrate that this method lead good result on target segmentation on natural textual background. |
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| Keywords: | wavelet transform transition region image segmentation threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
