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Adaptive Algorithm of Scale Parameter Based on Scale-space

机译:基于尺度空间的尺度参数自适应算法

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摘要

The image information change law with the change of scale parameter is first studied in terms of regarding ramp edge and step edge as measurement of image information. Then the paper proposes a kind of adaptive recursive algorithm of scale parameter with the module of visual characters. The information of the image is uniformly distributed among each layer in the algorithm. The method can avoid the problem of complicated computation or over- distortion because of losing too much key information. The experimental results show that the uniformly distributed information is more reasonable for human to perceive an image which will be useful for higher-level image processing technologies such as object recognition.
机译:首先,将坡度和台阶作为图像信息的测量方法,研究了随比例尺参数变化而变化的图像信息变化规律。在此基础上,提出了一种具有视觉特征模块的尺度参数自适应递归算法。在算法中,图像的信息均匀地分布在每一层之间。该方法可以避免由于丢失太多关键信息而导致的复杂计算或过度失真的问题。实验结果表明,均匀分布的信息对于人类感知图像更为合理,这将对诸如对象识别之类的高级图像处理技术很有用。

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