The Research on Procedure of Knowledge Representation Using Image Stripe Feature in Pattern Discovery
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摘要: 把二维图像矩阵放到一维空间来研究时,任何图像都将显示不同程度的条纹特性, 它在模式挖掘研究中是一种重要的图像抽象属性表征量.在一维圆周采样的基础上,利用三 角分形的多分辨率分析模型,对条纹频率特性进行了分析,定义了描述图像条纹特性的统计 变量.实验证明,条纹特性提取及量化对模式分类和图像知识挖掘都有普遍的意义.Abstract: It is obvious that if a 2D image matrix is studied in a 1D space, any image pattern will take on stripe property in different degree. This stripe feature is popularly used in pattern discovery and pattern recognition. First, we use circle resampling to get 1D data from 2D image matrix. Second, we define a triangle base and its fractal IFS (iterative function system) and then a multi-freaquency analysis math model is constructed. In the end, we apply the model to different types of image analysis and image database discovery. The result indicates that the stripe feature obtained by the method is useful both in image recognition and pattern discovery.
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Key words:
- Pattern discovery /
- image knowledge mining /
- fractal /
- circle sampling /
- affine transform /
- iterative function system /
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