利用空间填充曲线计算道路交通图像小波变换的优点

12th International Conference on Image Analysis and Processing, 2003.Proceedings. Pub Date : 2003-09-17 DOI:10.1109/ICIAP.2003.1234058

W. Pamuła

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引用次数: 4

摘要

讨论了道路交通图像数据小波变换的计算性质。提出将图像数据的希尔伯特扫描和分解成提升步骤的小波变换结合起来。扫描图像时，按照空间填充曲线顺序，将高度相关的像素聚集在一起。这是一个理想的特性，因为感兴趣的对象——车辆——由图像上的规则补丁组成的有界集合。应用一维小波变换比可分离的二维变换需要更少的处理步骤。这种解决方案适用于现场微控制器或FPGA实现。

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Advantages of using a space filling curve for computing wavelet transforms of road traffic images

The properties of computing wavelet transforms of road traffic image data are discussed. It is proposed to incorporate a Hilbert scan of image data and a wavelet transform factorised into lifting steps. Scanning an image, in space filling curve order, brings together pixels that are highly correlated. This is a desirable property, because the objects of interest - vehicles - comprise a bounded set of regular patches on an image. Applying a 1-dimensional wavelet transform requires a smaller number of processing steps than a separable two-dimensional transform. Such a solution is suitable for on site microcontroller or FPGA implementation.

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12th International Conference on Image Analysis and Processing, 2003.Proceedings.

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