| 基于小波变换的目标检测关键算法研究 |
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| 引用本文： | 曹量,李太君.基于小波变换的目标检测关键算法研究[J].通信技术,2011(9):77-79,82. |
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| 作者姓名： | 曹量 李太君 |
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| 作者单位： | 海南大学信息科学技术学院; |
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| 基金项目： | 2010年海南省工程技术研究中心专项基金项目(No.2060499) |
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| 摘 要： | 图像去噪和边缘检测都是目标检测中至关重要的过程。结合半软阈值法和比例萎缩法,提出了一种改进的小波局部自适应阈值图像去噪算法,给出了一种高斯小波模极大值算法进行图像边缘检测。实验证明,去噪算法优于传统的半软阈值算法,较好地保留了图像的细节信息。边缘检测算法与经典的Canny算子相比得到了更多细节信息,使图像变的更真实。
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| 关 键 词： | 小波变换 图像去噪 边缘检测 自适应阈值 模极大值 |
Core Algorithms of Target Detection based on Wavelet Transform |
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| CAO Liang,LI Tai-jun.Core Algorithms of Target Detection based on Wavelet Transform[J].Communications Technology,2011(9):77-79,82. |
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| Authors: | CAO Liang LI Tai-jun |
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| Affiliation: | CAO Liang,LI Tai-jun(Information Science and Technology College,Hainan University,Haikou Hainan 570228,China) |
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| Abstract: | Image denoising and edge detection are the critical processes for target detection.In combination of semi-soft threshold method and rate-contraction method,an improved local adaptive wavelet thresholding image denoising algorithm is proposed,and a Gaussian wavelet modulus maxima algorithm for image edge detection is given.Experimental results show that the denoising algorithm is superior to the traditional semi-soft threshold method,and could fairly retain the image details,and that the edge detection algor... |
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| Keywords: | wavelet transform image denoising edge detection adaptive threshold modulus maxima |
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