segmentation problem中文是什么意思

發(fā)音:

中文翻譯
造句

分割問(wèn)題

segmentation n. 1.分割；切斷。 2.【生物學(xué)】(細(xì)胞)分裂；(動(dòng) ...
problem n. 1.問(wèn)題，課題；疑難問(wèn)題；令人困惑的情況。 2.【 ...
segmentation n. 1.分割；切斷。 2.【生物學(xué)】(細(xì)胞)分裂；(動(dòng)物)分節(jié)；斷裂。
a problem 一道題; 一個(gè)問(wèn)題
no problem 毫無(wú)問(wèn)題; 考試家族; 沒(méi)問(wèn)題; 無(wú)問(wèn)題
problem n. 1.問(wèn)題，課題；疑難問(wèn)題；令人困惑的情況。 2.【數(shù)、物】習(xí)題；作圖題。 3.(象棋的)布局問(wèn)題。 the problem of unemployment 失業(yè)問(wèn)題。 His whole conduct is a problem to me. 他的一切行為我都不理解。 adj. 1.成問(wèn)題的；難處理的。 2.關(guān)于社會(huì)問(wèn)題的。 a problem child 【心理學(xué)】問(wèn)題兒童；難管教的孩子。 a problem novel [play] (反映社會(huì)問(wèn)題等的)問(wèn)題小說(shuō)[戲劇]。 sleep on [upon, over] a problem 把問(wèn)題留到第二天解決。
the problem is 困難在於
alternative segmentation 換向卵犁; 換向卵裂
amplitude segmentation 幅度分割
atypic segmentation 畸型卵裂; 異型卵裂,畸裂
automatic segmentation 自動(dòng)分段; 自動(dòng)切分
behavior segmentation 行為細(xì)分
behavioral segmentation 行為細(xì)分
benefit segmentation 利益的細(xì)分化
benefits segmentation 利益細(xì)分
bilateral segmentation 對(duì)稱(chēng)卵裂; 兩側(cè)分裂
centrolecithal segmentation 中黃分裂
character segmentation 文字分離, 字符分割
cobol segmentation 普通商用語(yǔ)言分段
complete segmentation 全裂; 完全分裂; 完全卵裂
completer segmentation 全裂
concentrated segmentation 集中市場(chǎng)細(xì)分
counter segmentation 反細(xì)分化
curve segmentation 曲線(xiàn)分段
demand segmentation 請(qǐng)求式分段

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例句與用法

Genetic algorithms in graph segmentation problem
圖分割問(wèn)題中的遺傳算法
The application of genetic algorithm in medical image - segmentation problems
遺傳算法在醫(yī)學(xué)圖像分割中的應(yīng)用
As a result , it is very difficult for us to find suitable algorithms when facing a practical image segmentation problem
因此，在解決一些實(shí)際的圖像分割問(wèn)題時(shí)，我們往往難于找到合適的算法。
Aimed at the motion segmentation problem in video sequence , a novel approach for detecting and segmenting multiple moving objects was presented based on level - set method
摘要針對(duì)視頻圖像的運(yùn)動(dòng)分割問(wèn)題，提出了一種基于水平集力法的多運(yùn)動(dòng)目標(biāo)檢測(cè)和分割新方法。
To segment multi - object image , n - region segmentation problem is equivalent to n - 1 two - region segmentation problems that are solved based on the developed simple m - s model . the experiments show that cytoplasm of immune cell is segmented out
實(shí)驗(yàn)結(jié)果表明,與小波- fcm模糊聚類(lèi)紋理圖像分割方法相比,該方法對(duì)雙紋理圖像能取得較好的分割效果,分割出的邊界連續(xù),并且具有較強(qiáng)的抗噪能力。
In this paper emphasis is put on the application of the wavelet technique into the system and the local segmentation problem preliminarily solved existing in the extant bone - age recognition system . . the traditional chain - length concept is dixcarded and the percentage concept of the chain is proposed . no related reports can be found in the literature . the chain is proposed
隨后，筆者重點(diǎn)研究了小波技術(shù)在微機(jī)骨齡診斷系統(tǒng)中的應(yīng)用，初步解決了目前骨齡系統(tǒng)中存在的局部分割問(wèn)題，拋棄傳統(tǒng)的鏈長(zhǎng)觀(guān)念，提出了鏈的百分比概念，國(guó)內(nèi)外文獻(xiàn)未見(jiàn)有相關(guān)報(bào)道；針對(duì)分割結(jié)果的不封閉性，采用邊緣點(diǎn)生長(zhǎng)的方法，有效地解決了區(qū)域的封閉性。
Applied in license plate segmentation problem , a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ] . 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method , a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j . 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology , the paper puts forward basic structure of recognition machine ' s model , and makes a primary research of basic structure and design method , then makes research of the multi - character method
并應(yīng)用于車(chē)牌分割問(wèn)題，提出基于小波與神經(jīng)元模式識(shí)別的車(chē)牌圖像分割方法； 2 )特征提取階段：將結(jié)構(gòu)特征提取方法和統(tǒng)計(jì)特征提取方法的緊密有機(jī)結(jié)合，提出一種基于小波和矩的車(chē)牌圖像字符特征向量提取方法； 3 )分類(lèi)識(shí)別階段：對(duì)智能識(shí)別技術(shù)進(jìn)行研究，提出智能識(shí)別機(jī)的模型結(jié)構(gòu)，對(duì)識(shí)別機(jī)的基本層次結(jié)構(gòu)和設(shè)計(jì)方法進(jìn)行初探；并針對(duì)多特征方法進(jìn)行一定的研究；本文提出的基于模式識(shí)別的圖像處理方法對(duì)其他領(lǐng)域的圖像處理具有一定的參考價(jià)值。
A novel method of content - based image segmentation using deformable template matching is proposed . a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly . then the definitions of internal and external energy functions are given according to the image segmentation problem , and genetic algorithm is used to obtain globally optimal solutions . the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template . experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method
本文提出一種采用可變形模板匹配技術(shù)進(jìn)行基于內(nèi)容的圖像分割算法.通過(guò)預(yù)先計(jì)算出可變形模板沿著變形的正交曲線(xiàn)，并對(duì)模板曲線(xiàn)及正交曲線(xiàn)進(jìn)行離散抽樣，建立一基于正交曲線(xiàn)的二維( 2 - d )可變形模板，針對(duì)圖像分割問(wèn)題定義控制可變形模板進(jìn)行變形的內(nèi)、外部能量函數(shù)，本文采用遺傳算法搜索能量函數(shù)最小的全局最優(yōu)解.該新算法比傳統(tǒng)的可變形模板匹配方法降低了搜索空間的維數(shù)，減少了算法對(duì)模板初始位置的敏感.對(duì)實(shí)際圖像及模擬低信噪比圖像處理的結(jié)果表明，新算法具有良好的分割精度及穩(wěn)定性

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