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基于小波变换的针叶苗木彩色图像分割
引用本文:孙业明,关山,牛海波. 基于小波变换的针叶苗木彩色图像分割[J]. 东北电力学院学报, 2005, 25(6): 9-13
作者姓名:孙业明  关山  牛海波
作者单位:东北电力学院,机电系,吉林,吉林,132012;吉林石化公司,吉林,吉林,132202
摘    要:苗木图像分割是形态参数提取的前提条件。利用小波变换及分开-合并法实现了对苗木图像的分割。对图像的色度分量进行小波变换。其变换系数作为分开-合并法中区域一致性的度量。通过改变小波变换的尺度,可以将边缘与噪声区分开来,减小图像分割中噪声带来的影响,有利于提高分割的准确性。实验表明,该算法取得了满意的结果。

关 键 词:图像分割  形态参数  小波变换  分开-合并法
文章编号:1005-2992(2005)06-0009-05
收稿时间:2005-06-24
修稿时间:2005-06-24

Segment of color conifer seedling image based on wavelet transform
SUN Ye-ming,GUAN Shan,NIU Hai-bo. Segment of color conifer seedling image based on wavelet transform[J]. Journal of Northeast China Institute of Electric Power Engineering, 2005, 25(6): 9-13
Authors:SUN Ye-ming  GUAN Shan  NIU Hai-bo
Affiliation:1 .Department of Mechatronics Engineering, Northeast Institute of Electric Power, Jilin 132012; 2. Jilin Petrol Chemical Company, Jilin 132202
Abstract:Image segment is an essential technique to extract the morphology features. In this paper, the wavelet transform and the region splitting- merging are used to segment the image of a conifer seedling. Wavelet transform is performed on hue component of seedling image. The coefficient of wavelet transform is used as measure of region uniform in splitting - merging algorithm. The image edge and noise can be distinguished by changing scale of wavelet transform, and the adverse effect noise is able to be reduced. It is benefit to improve the accuracy of segment. The result of segment algorithm is satisfying.
Keywords:Simage segment    Morphology features   Wavelet transform   Splitting - merging algorithm
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