分通道 meaning in Chinese
subchannel
tributary channel
Examples
- To suppress the clutter , noise and detect target , we adopt several advanced sp methods such as pulse compression , mti , mtd , cfar , amplitude - comparison angle measurement and ambiguity resolution , of which we emphase the algorithms of cfar and ambiguity resolution . two cfar algorithms , cell - averaging cfar ( ca - cfar ) and ordered
为了抑制杂波、噪声和检测目标,采用了脉冲压缩、动目标显示、动目标检测、恒虚警、单脉冲比幅测角和解模糊等较先进的雷达信号处理技术,并采用了多模式分通道处理方式。 - This paper clarifies image collect automatically process of multi - channels , and pre - processing process of original image in order to noise reduction . in image processing , method as follows will be introduced in this paper : a method combining image threshold iterative segmentation with threshold interpolation , edge detection operator sobel and log , edge linking method using delation operator based on mathematical morphology , using boundary tracking and projection method in edge distill process . through this method , measurement of wheelset will be met precision demand
本文阐明了图像的分通道自动采集过程，以及对采集到的原始图像进行预处理过程，达到图像去噪声的目标，本课题采用了阈值分割中迭代阈值和阈值插值相结合的方法， sobel算子、 log算子边缘检测算法，基于数学形态学的膨胀运算子进行边缘断点连接以及目标提取中的投影法和边缘跟踪方法，使得提取轮对图像边缘达到测量精度的要求。 - The algorithm is built on the base of color image sub - way segmentation method . according to the hue and saturation , it can segment color image based on a histogram - based bi - threshold iterative . meanwhile , it captures some feature points to measure illumination variant , real - time update segmentation threshold
本算法采用彩色图像的分通道分割原理,以色度和色调为特征量进行基于直方图的双阈值自动迭代分割,同时利用背景特征点监测环境光照变化,自适应更新分割阈值。