| 无边界效应D小波软阈值法去除肉品图像斑点噪声 |
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| 引用本文： | 贾渊,彭增起,刘涌,蒋勇.无边界效应D小波软阈值法去除肉品图像斑点噪声[J].微计算机信息,2011(7):22-24. |
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| 作者姓名： | 贾渊 彭增起 刘涌 蒋勇 |
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| 作者单位： | 西南科技大学计算机科学与技术学院;南京农业大学食品科技学院; |
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| 基金项目： | 基金申请人:彭增起;项目名称:猪肉品质智能化无损检测技术研究;基金颁发部门:国家科技部863项目(2008AA10Z211); 基金申请人:贾渊;项目名称:猪肉关键品质自动分级技术的计算机软件系统研究;基金颁发部门:西南科技大学(08zx7101) |
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| 摘 要： | 肉品图像中的斑点噪声与肌内脂肪的颜色特征相似,要准确提取肌内脂肪,就必须先对斑点噪声进行滤除。在小波软阈值法滤除SAR图像中的斑点噪声算法基础上,结合肉品图像的特点进行了改进。首先,使用由耿则勋提出的算法,在小波分解时对左右边界进行处理,重构时外推值为0,对离散小波变换的边界效应进行处理,精确重建图像,消除小波变换的边界效应。选择了D8小波,3级分解后,在不同的阈值下进行了实验。结果表明:阈值的选取影响去噪效果,但在所有参数都相同时,改进算法消除边界效应的同时,在斑点指数和方法噪声两个客观评价指标均优于其他几种边界延拓方式,图像失真最小。
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| 关 键 词： | 肉品图像 边界效应 小波软阈值法 斑点噪声 |
Apply Daubechies Wavelet Soft-thresholding Method Without Boundary Errors to Remove the Speckle Noise in Meat Image |
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| JIA Yuan PENG Zeng-qi LIU Yong JIANG Yong.Apply Daubechies Wavelet Soft-thresholding Method Without Boundary Errors to Remove the Speckle Noise in Meat Image[J].Control & Automation,2011(7):22-24. |
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| Authors: | JIA Yuan PENG Zeng-qi LIU Yong JIANG Yong |
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| Affiliation: | JIA Yuan PENG Zeng-qi LIU Yong JIANG Yong (College of Computer Science & Technology,Southwest University of Science & Technology,Mianyang,621010,China) (College of Food Science,Nanjing Agricultural University,Nanjing,210095,China) |
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| Abstract: | Speckle noises are similar to intramuscular fat pixels in meat image, and they must be removed if intramuscular fat pixels need to be correctly separated from meat muscle pixels. According to the features of meat images, this paper presents an improved algorithm based on wavelet soft -thresholding filters,which were applied to remove the speckle noises in SAR images. In order to avoid boundary errors caused by discrete wavelet transform, an algorithm presented by Geng zexun is applied firstly. The extrapola... |
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| Keywords: | meat image boundary errors wavelet soft-thresholding filter speckle noise |
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