侧抑制的英文

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英文翻译
造句

adli
collateral inhibition
lateral inhibition

侧 slant; sloping
抑制 restrain; control; check; ho ...
侧抑制网络 lateral inhibition network
一侧抑制 lateral inhibition
一侧抑制机制 lateral inhibition mechanism
抑制 1.(控制) restrain; control; check; hold-up; curb; stop; repress; bridle; choke; prehension; suppression; anticatalysis 抑制感情 control one's emotion; keep a tight lid on one's feelings; 对 ... 加以抑制 exercise its restraints upon ...; 利用辐射抑制洋葱发芽 check the sprouting of onions by radiation; 抑制通货膨胀 bring down the inflation; 我们分手时, 我怎么能抑制住眼泪? how shall i refrain from tears when we part? 对他们这种无动于衷的态度, 她抑制不住心头的怒火。 she shouldn't restrain her anger at this insensible attitude of theirs.2.[生理学] depressing; [生物] inhibition 有些药剂会对正常的身体功能产生抑制作用。 some drugs can cause the inhibition of normal bodily activity.3.[自动化] restraint; 抑制神经 [生物学] inhibitory nerve; 抑制作用 inhibitory action
抑制器，抑制栅 suppressor
抑制抑制电流抑制 curb
renshaw抑制 renshaw's inhibition
wedensky抑制 wedensky inhibition
除抑制 derepression
爹抑制 amplitude modulation suppression
断开，抑制 quench
反抑制 retroinhibition
防止；抑制 inhibited
共抑制 cosupression
光抑制 photoinhibition
后抑制 after inhibition; after-inhibition; successive inhibition
空抑制 null suppression
链抑制 chain inhibition
零抑制 suppression, zero; zero suppression
酶抑制 enzyme inhibition; enzyme repression; enzyme-inhibition
模抑制 mode suppression
内抑制 internal inhibition
逆抑制 retroactive inhibition

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例句与用法

Application of lateral inhibition network in image enhancement
侧抑制网络在图像增强中的应用
Using side restrain compete method can obtain image edge character fast , correctly , moreover the character results have no shift , and are not sensitivity to gray
用侧抑制竞争方法，图像边缘特征提取快速准确，不发生移位，对灰度变化也不敏感。
This contains lateral inhibition theory ' s mathematics model , stability criterion , time domain and frequency domain feature , the function of enhancing the image ' s contrast and the object ' s frame and other functions applying in image segmentation
其中包括侧抑制理论的数学模型、稳定性判据、时域特征、频域特征、侧抑制网络突出图像边框、增强反差的功能以及在图像分割中的应用。
Method of infrared image processing imitating fly vision the figure - ground discrimination system is discussed ; the formulas of output response are given about large - scene system and small - scene system . this paper discusses the method about fly lateral inhibitory networks applying to image preprocessing
仿蝇视觉的红外图像处理方法研究了蝇视觉图形?背景分辨系统及其相应的算法，探讨了基于复眼侧抑制网络的图像预处理方法。
The main achievements of this paper are as follows : 1 , the preprocessing of ir image : first introducing traditional methods on preprocessing of ir image , second emphasizing on introducing and summarizing lateral inhibition theory and application that predecessors had researched
本文所作的工作主要在以下几个方面： 1 、红外图像的预处理：首先介绍了传统的图像预处理方法，然后重点介绍和总结了前人关于侧抑制机理在红外图像预处理中的应用。
Firstly , the paper , combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model , presents a way of finding the foveation points in the images adaptively and effectively , and simulates the human vision system . secondly , pcnn is extended to pcnns , based on the properties of information couple and transmission , an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system . thirdly , combining the properties of synchronous pulse bursts , capture , and transmission and competition of waves , the paper presents two ways of classification , one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly , the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally , based on the accumulative difference pictures , and the forming and transmission of pcnn wave , selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively , the paper presents a way to simulate the tracks of moving object and detect the moving direction
首先结合pcnn的同步脉冲发放和侧抑制特性，提出了基于改进型pcnn的图像凹点检测算法，该算法是一种自适应而有效的图像凹点检测方法，并且较好地仿真了人类视觉系统；然后，结合信息传递和信息耦合特性，将pcnn扩展成pcnns ( pcnn网络群) ，提出了一种基于pcnns的图像融合算法，能够将多个传感器获取的同一目标的图像信息融合到一幅图像中，有效模拟了人类视觉系统；另外，结合pcnn的同步脉冲发放特性、捕获特性和波的传播竞争特性，开拓地将pcnn用于模式分类中，提出了基于耦合神经元点火捕获抑制特性的分类方法和改进的约束距离下的pcnn分类方法，前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类，而后者能够消除训练样本中刺点对分类的影响；最后，结合累积差分图像思想、 pcnn波的形成与传播特性，通过各神经元之间连接取向来选择与控制自动波的流向，将pcnn用于运动视觉分析中的运动轨迹模拟及运动方向检测。