gradient vector造句
例句與造句
- Automatic medical image segmentation based on gradient vector flow
結(jié)合對心臟序列圖像的分割 - Detection of motion - target based on improved gradient vector flow snake model
基于改進(jìn)梯度向量流形變模型的動(dòng)目標(biāo)檢測方法 - We discuss several different definitions of directional derivative and gradient vector
摘要討論了幾種不同的方向?qū)?shù)和梯度的定義。 - The gradient vector can be used to construct the initial errors
這時(shí)可以對梯度向量本身進(jìn)行分析，或者用這個(gè)梯度向量構(gòu)造初始誤差場。 - Adjoint method provides an efficient tool to calculate the gradient vector of the cost function to the initial field
利用伴隨方法，可以求出該度量函數(shù)關(guān)于初始場的梯度向量。 - It's difficult to find gradient vector in a sentence. 用gradient vector造句挺難的
- Therefore the gvf ( gradient vector field ) is used to substitute the traditional potential field and it overcomes the defects of the traditional active contour
于是，我們采用一種梯度向量流場作為外力，從而有效地克服了傳統(tǒng)勢能場的弱點(diǎn)，給曲線的移動(dòng)以很好的指向。 - When using modem optimization methods , the gradient vector information of the target function is not necessary , so there is much flexible in solving complex optimization problems
使用現(xiàn)代優(yōu)化技術(shù)時(shí)不需要目標(biāo)函數(shù)的梯度向量，因此在解決復(fù)雜優(yōu)化問題時(shí)有更大的靈活性。 - 2 . study the working principle of the vector transducer , mainly for two - dimensional pressure - gradient transducer . and the experimental results for directional pattern of two - dimensional pressure - gradient vector transducer at frequency 3khz and 5khz are given
重點(diǎn)對本文所要研究的壓差式矢量水聽器進(jìn)行研究，并運(yùn)用消聲水池實(shí)測數(shù)據(jù)繪出了二維壓差式矢量水聽器在3khz和5khz下的指向性圖。 - To corner feature , both gradient magnitude change and direction change of gradient vector are discontinuity in a local image neighborhood , hence gradient - direction variation and gradient magnitude are used as another decision rule of the corner detection to improve antinoise
為了提高抗噪聲,根據(jù)角特征不僅灰度變化是不連續(xù)的,且相對周圍其他點(diǎn)的梯度方向也是不連續(xù)的,提出利用梯度角變化和梯度幅值作為角特征檢測的另一個(gè)準(zhǔn)則。 - There are two methods to optimize the parameters and structures of neuro - fuzzy networks : one is the differential coefficient optimization method based on gradient vector ; the other is based on modern optimization methods , such as genetic methods , simulated annealing etc , in which , the researches on genetic methods are most prominent
目前，對模糊神經(jīng)網(wǎng)絡(luò)的權(quán)值或結(jié)構(gòu)進(jìn)行優(yōu)化的方法有兩類：一類是基于梯度向量的導(dǎo)數(shù)優(yōu)化方法；第二類方法是基于現(xiàn)代最優(yōu)化技術(shù)的非導(dǎo)數(shù)優(yōu)化方法，如遺傳算法、模擬退火算法等，其中以遺傳算法的研究最為突出。 - Dealing with faces illumination variation based on dynamic directional gradient vector flow snake and gamma algorithm a new dynamic directional gradient vector flow snake ddgvf snake algorithm was presented which can detect the image shadow and highlight contours of the unknown face images . according to the given standard face database , the image gray median could be c . .
使用一種動(dòng)態(tài)方向梯度矢量流snake ddgvf snake算法來檢測未知圖像的陰影和高光區(qū)域，根據(jù)已知的標(biāo)準(zhǔn)人臉圖像庫中圖像的灰度分布，計(jì)算出灰度中值，然后采用加權(quán)非線性gamma灰度矯正算法來歸一化待識別圖像的光照變化，使之與已知的標(biāo)準(zhǔn)庫中的圖像灰度一致。