图像分析中的矩技术

Development of Current Moment Techniques in Image Analysis

矩技术可广泛应用于图像检索和识别、图像分割、模板匹配、数据压缩、数字水印及运动图像序列分析等领域,近年来其研究取得了较大的进展。为了使人们对这一技术有个概略了解,首先对图像分析中的矩技术进行了较为全面的介绍和评述;然后着重探讨了离散正交矩技术在图像特征表示、图像重建、计算性能等方面的研究现状;最后提出了图像分析中的矩技术目前存在的问题和进一步的研究方向。

Moment techniques are an important research area and have been widely used in image processing and analysis such as pattern recognition, pattern matching, image compression, digital watermarking and so on. For helping the researchers to have a general understanding in this technique this paper presents a survey of recent and traditional moment techniques in image analysis. It discusses various types of moments, especially some fundamental aspects of discrete orthogonal moments, such as computation capacity, reconstruction accuracy, and invariance etc. in detail. Open issues and possible future research direction are also pointed out.