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机构地区:[1]成都信息工程大学电子工程学院,四川成都610225 [2]中国气象局大气探测重点开放实验室,四川成都610225
出 处:《微型机与应用》2017年第4期40-42,46,共4页Microcomputer & Its Applications
基 金:国家重大科学仪器设备开发专项资助项目(2012YQ110205)
摘 要:图像采集和处理方法的发展日新月异,针对不同图像特征的图像增强技术,可以加强图像可懂性,提高视觉效果,抑制噪声,为图像的后续识别做更好的铺垫。本文MATLAB平台主要用于平滑和锐化的QR码图像处理,在QR码图像去噪问题上,结合滤波的不同模板以及噪声类型,所获得的不同滤波的仿真实验结果表明:中值滤波窗口的尺寸大小是影响椒盐噪声去除有效性和提升图像识别率的关键因素;空域图像增强法中,平滑滤波所呈现出的功能效果更优于锐化滤波。The development of image acquisition and processing methods with each passing day, the image enhancement technology based on different image features can enhance the understanding of the image, improve the visual effect, restrain noise, and pave the way for the further recognition of the image. The MATLAB platform is mainly used for smoothing and sharpening of the QR code image processing for the pooblem of QR code image denoise, it is combined with the filtering of different templates and noise type, obtains the different filtering simulation exper- iment results, which show that the median filter window size is key factor which effects removing salt and pepper noise effectively and enhances the image recognition rate. Image enhancement in the frequency domain method, smoothing filter are showing the functional effect is better than sharpening filter.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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