基于定位与识别系统图像处理技术的实现

Imaging processing technology realization based on localization and recognition system

为了提高定位与识别系统中定位和识别的正确率,可以根据图像的应用特点采用不同的图像处理技术进行预处理。本文分别对图像二值化、图像锐化、图像滤波这三种图像处理技术突出待定位和识别区域、增强定位和识别图像的边缘信息和去除图像中的噪声的方法进行了对比分析,并给出了基于Laplace算子对二值化图像进行梯度锐化的方法,实验结果表明该方法有效地提高了定位和识别正确率。

In order to enhance the localization and the recognition accuracy in the localization and the recognition system, the different imagery processing technology can be used to carry on the pretreatments according to the image application characteristic, in this paper the image binaryzation, the image sharpening, the image filter these three kind of imagery, processing technologies have been carried on the contrastive analysis, these methods can prominently get the located region, enhance the edge information of the image and the eliminate image noise, the method which based on the Laplace operator to the gradient peaking binaryzation image was presented, the experimental result indicated that this method enhanced the localization and the recognition accuracy effectively.