图象处理和模式识别研究中存在的一个主要问题是要花费大量的计算时间和存贮空间,因此图象表示方法的研究具有重要的意义。通常采用的图象阵表示法是很不经济的,因为图象数据的一个主要特点是其相邻象素间相关性很强,即图象信息含有大量的冗余度;另一方面对于大多数以特征抽取为目的的处理并不要 A major problem in the research of image processing and pattern recognition is that it takes a lot of computation time and storage space. Therefore, the research of image representation is of great significance. The commonly used image matrix representation is not economical because one of the main features of the image data is the strong correlation between its adjacent pixels, that is, the image information contains a great deal of redundancy. On the other hand, Most of the features extracted for the purpose of the treatment does not want