节点文献
低信噪比图象识别中二元统计编码的应用
Application of Binary Statistic Coding to Low SNR Image Recognition
【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。理论上,二元统计编码图象识别技术,对处理实际获得的低信噪比相干和非相干图象也是很有效的。
【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.
- 【文献出处】 光电工程 ,OPTO-ELECTRONIC ENGINEERING , 编辑部邮箱 ,1998年01期
- 【分类号】TP274
- 【下载频次】37