recognition feature造句
例句與造句
- Observing lots of palm images and their palm - line undirected graph and analyzing the experts ’ knowledge , we extract the recognition features of cross structure and mi structure
觀察大量的手掌圖像及其相應(yīng)的掌紋線無(wú)向圖,并結(jié)合手掌診病專家知識(shí),分別提取出十字紋和米字紋的識(shí)別特征。 - The above research results show that the proposed pd recognition features set and fic method , can be effectively used for pd pattern recognition and good recognition results are achieved
以上研究表明，提出的局部放電識(shí)別特征集與分形圖像壓縮方法，能夠有效地應(yīng)用于局部放電模式自動(dòng)識(shí)別，并獲得了良好的識(shí)別效果。 - Caption recognition feature extraction using wavelet transformation and the combination of statistical language model and hidden markov model methods finally achieved the identification of caption
基于統(tǒng)計(jì)機(jī)器學(xué)習(xí)的字幕識(shí)別提取小波變換的特征并使用隱馬爾可夫模型和統(tǒng)計(jì)語(yǔ)言模型的識(shí)別技術(shù)相結(jié)合的機(jī)器學(xué)習(xí)方法，實(shí)現(xiàn)字幕文字的識(shí)別。 - We provide a chinese layout analysis method base on fuzzy connectedness and recognition features for complex document layout . this is a process including the input document images . , skew correction and texts / graphics segmentation
本文針對(duì)復(fù)雜的中文版面，提出了一個(gè)基于模糊連接度和識(shí)別特征的中文版面分析方法，完成了一個(gè)圖像輸入、傾斜校正、版面圖文分割的過(guò)程。 - And then in - depth researches are made in vehicle recognition features extraction and recognition method . in addition , a vehicle target recognition method with neural network is tested . the main results are as follows : 1
主要內(nèi)容如下: 1 .本文所處理的數(shù)據(jù)源隨著拍攝時(shí)間的變化視頻圖像的亮度有很大的差異,而且拍攝背景比較復(fù)雜,同一車輛目標(biāo)在不同角度和姿態(tài)下其光照與紋理也有較大的變化。 - It's difficult to find recognition feature in a sentence. 用recognition feature造句挺難的
- This eye tracker can accurately track every tiny eye movements during lasik surgery ; iris recognition features the safest measure as no two irises are identical , this ensures the correct eye is treated . these advance technologies in turn maximize the chance of having best surgical outcomes
這眼球追蹤器能準(zhǔn)確地追蹤手術(shù)時(shí)眼球的輕微移動(dòng)由于沒(méi)有兩只眼睛的虹膜是完全相同的，虹膜辨識(shí)技術(shù)就可準(zhǔn)確地辨識(shí)不同的虹膜，這安全措施確保眼睛得到正確的治療，令手術(shù)更精確和安全，視力效果更理想。 - A combined recognition feature extraction method based on vehicle target contour is given . this kind of recognition feature includes global shape features and local statistic features of target contour ’ s horizontal and vertical part . it can be used in visible light and infrared situation , and it has good stability and consistency even if the illumination and texture changed
基于這些特點(diǎn),本文給出一種基于車輛目標(biāo)輪廓的組合識(shí)別特征提取方法,所提取的組合特征包括以車輛目標(biāo)輪廓為基礎(chǔ)的全局形狀矩特征和以車輛目標(biāo)輪廓縱橫向分量為基礎(chǔ)的局部統(tǒng)計(jì)特征,該方法具有較強(qiáng)的穩(wěn)定性和一致性。 - Furthermore , good compression effectivity is presented in application to compression of pd gray intensity images . according to the research on difference degree between computational values of fractal features extracted from decoded pd images and that from original images , it is shown elementarily that the proposed method is effective for application in pd pattern auto - recognition system . ( 4 ) this paper brings forward pd pattern auto - recognition project based on the above recognition features and fractal compression of pd gray intensity images and designs the classifier with back - propagation neural network ( bpnn )
( 3 )研究了局部放電灰度圖像的四叉樹(shù)分形圖像壓縮方法，通過(guò)仿真實(shí)驗(yàn)證明采用本文算法能夠獲得一定的圖像壓縮比，在局部放電灰度圖像壓縮應(yīng)用中顯示了良好的壓縮效果，進(jìn)一步研究了局部放電解碼圖像的識(shí)別結(jié)果與原始圖像之結(jié)果的差異程度，研究結(jié)果初步表明該方法應(yīng)用于局部放電模式自動(dòng)識(shí)別系統(tǒng)中是有效的； ( 4 )研究了基于局部放電解碼圖像的bpnn識(shí)別方法及，通過(guò)分析對(duì)解碼圖像的識(shí)別效果，驗(yàn)證了設(shè)計(jì)的系統(tǒng)模式識(shí)別方案的有效性，同時(shí)表明該方案能夠滿足實(shí)地局部放電模式自動(dòng)識(shí)別和遠(yuǎn)程數(shù)據(jù)通訊及自動(dòng)識(shí)別的需要。 - In the dissertation are discussed the infrared video object recognition features , the infrared rosette scan subimage technology , the fast object recognition and tracking technology and the design - consideration of miniature system , etc . based on those , system experimenting is made and good results are shown
本文研究遠(yuǎn)程紅外目標(biāo)識(shí)別特征，玫瑰掃描亞成像與目標(biāo)檢測(cè)，快速目標(biāo)識(shí)別跟蹤技術(shù)及小型化系統(tǒng)的研制等，并在此基礎(chǔ)上進(jìn)行了系統(tǒng)實(shí)驗(yàn)，取得了良好的結(jié)果。 - A parallel distributed sequential fusion detection algorithm is also developed for the multi - band target detection problem . the optimized fusion algorithm is determined based on the theory analysis and the experiment ’ s results . the exo - atmospheric ballistic target ’ s optical signature and recognition feature is studied
針對(duì)多波段條件下的目標(biāo)融合檢測(cè)問(wèn)題,采用并行分布式序貫融合算法對(duì)各通道的檢測(cè)結(jié)果進(jìn)行融合處理,并根據(jù)理論分析和仿真實(shí)驗(yàn)結(jié)果確定了最佳的序貫融合檢測(cè)算法。