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低信噪比图象识别中二元统计编码的应用
引用本文:王家旺 陈延如. 低信噪比图象识别中二元统计编码的应用[J]. 光电工程, 1998, 25(1): 50-55
作者姓名:王家旺 陈延如
作者单位:南京理工大学光电技术系
摘    要:用数理统计观点,把图象看成是由纯噪声象和纯目标象叠加而成,用二元统计编码方法,对信噪比接近1的相干图象,进行了计算机模拟,获得了被噪声淹没的二元目标象,给出了对比度与目标恢复程度之间的对应关系。

关 键 词:图象识别 图象处理 二元编码 低信噪比

Application of Binary Statistic Coding to Low SNR Image Recognition
Wang Jiawang,Chen Yanru,Zhao Qi. Application of Binary Statistic Coding to Low SNR Image Recognition[J]. Opto-Electronic Engineering, 1998, 25(1): 50-55
Authors:Wang Jiawang  Chen Yanru  Zhao Qi
Abstract:In the view of mathematical statistics,an image is formed by pure noise image and pure object image superimposing.The coherent image whose SNR is about 1 has been simulated by computer with binary statistic coding method.A binary object image immersed by noise has been obtained and the corresponding relation between the contrast and the recovering degree of the object is given.In theory,the binary image recognition technique of the binary statistic coding is very ef fective for processing of the practically obtained low SNR coherent and incoherent images.
Keywords:Image recognition  Image processing  Binary coding.
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