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基于边沿检测的Maxicode边界定位算法
Maxicode Boundary Location Algorithms Based on Edge Detection
【摘要】 提出了一种新的基于边缘检测的方法,实现对Maxicode边界的精确定位。该算法不需要对图像进行复杂的计算,如傅立叶变换,图像旋转(坐标映射),矩不变等,它充分利用了Maxicode本身的特点,包括中心定位标志、方向模块、条码四周的静区等,并用相对简单的计算来实现对Maxicode的定位。
【Abstract】 This thesis proposes a new accurate Maxicode boundary location algorithm, which is based on edge detection. It takes advantage of Maxicode inherent characteristics, including its finder pattern, orientation patterns, and quiet zones, to locate the barcodes in an image with relatively simple computations. No time-consuming complicated image processing algorithms, such as Fourier transformation, image rotation (coordinate conversion), momentum invariant computations, etc., are needed.
【关键词】 边沿;
边界;
Maxicode;
双平行线边界定位算法;
【Key words】 Edge; Boundary; Maxicode; Dual-parallel-line Doundary location algorithm;
【Key words】 Edge; Boundary; Maxicode; Dual-parallel-line Doundary location algorithm;
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2006年10期
- 【分类号】TP391.44
- 【被引频次】5
- 【下载频次】174