集装箱号识别中的图像处理和图像分割
BP neural network to Image processing and segmentation in Container Code Recognition
本文详细介绍了一种在实际应用中的集装箱号识别系统的图像处理和分割过程.本文针对集装箱号的特点,先对图片灰度化,然后采用降噪处理,实现图片的预处理.然后对图像的分割采用二值化,边缘检测及定位.实践证明本文提出的方法是非常有效的,在45个样本图片中，图像准确定位率达99%.
In this paper a practical application of image processing and segmentation process is introduced in detail.The author grays the picture firstly,than reduce the noise so as to process the code image; The author uses binarization, edge detection and location to extract the code image from complex background. Experimental results demonstrate that the proposed approach is very effective , In the 45 samples in the picture, Image accurate positioning rate is 99%.
花树艳
电子技术应用
集装箱号识别图像处理图像分割BP神经网络
ontainer code recognitionImage processingImage segmentationBP neural network
花树艳.集装箱号识别中的图像处理和图像分割[EB/OL].(2010-11-19)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201011-443.点此复制
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