模糊程度 meaning in English
blur length
Examples
- It will help you with refactoring that covers a wide scope or has particularly sticky ambiguities that defy a one - for - one categorization of tokens
它将帮助您进行涉及范围广泛的重构，或难以满足对标记进行一对一分类的模糊程度特别高的重构。 - They are the shadow that depends on an object , color and ambiguous degree and the experience feelings that get to analogue body feeling will discern the appearance of the object , size , have with the stereo vision of normal person distinguish substantially
他们是凭借物体的阴影、颜色和模糊程度以及对类似物体触摸得到的经验感觉来辨别物体的外形、大小，与正常人的立体视觉有本质上区别。 - This paper analyses deterioration model of bar code signals after the point spread function convolution , and presents two kinds of recognition algorithm in correspondence to different bluring degrees of bar code signal : one based on midpoints detection and the other based on waveform analysis
分析了条码信号经过点扩展函数卷积后的降质模型。针对条码信号模糊程度的不同，提出两种识别方法：基于中点检测的条码识别方法和基于波形分析的条码识别方法。 - The keep with bounds were be fuzzy by the method of oblige line . this program not only has been used to optimization the pdew but also could used to control the fuzzy factor that could change the strength of fuzzy . when the fuzzy factor equal to one , the fuzzy optimization program could change to a general optimization program
该优化设计程序不仅适应于平面二次包络环面蜗杆传动的模糊优化，而且可以改变模糊因子的大小，控制约束条件的模糊程度，甚至变换为常规的优化设计程序，程序的适用范围较广。 - Abstract : the characteristics of wavelet transform and its significance in image edge extraction are presented . the detailed steps for the extended target centroid calculation with wavelet transform are described . extracting target ( airplane ) centroid coordinates when airplane images are in the background noise conditions with different image fuzzy degrees by using wavelet transform , the extracting accuracy for target centroid coordinates under the different image fuzzy degrees and background noise conditions are compared . the application prospect of wavelet transform in the extended target tracking is shown
文摘:介绍了小波变换的特点及其在图象边缘提取中的意义,说明了扩展目标用小波变换进行目标形心计算的详细步骤,并以飞机图象为目标在不同图象模糊程度及背景噪音情况下用小波变换进行了目标形心坐标提取,比较了不同图象模糊程度及背景噪音情况下目标形心坐标提取的精度,展示了小波变换在扩展目标跟踪技术中应用的前景。