神經聲像圖的 的英文怎麼說

中文拼音 [shénjīngshēngxiàngtúde]
神經聲像圖的 英文
neurosonographic
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 像 : Ⅰ名詞1 （比照人物製成的形象） likeness （of sb ）; portrait; picture 2 [物理學] image Ⅱ動詞1 （在...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 神經 : nerve; nervus
  1. Suart has looked at many of the cartoon greats tintin, asterix, calvin and hobbes, the moomins and little nemo in slumberland and has used many of the standard devices of the language of cartooning ; the speech and think bubble, the materialised noise, the half - face close - up, the fisheye lens view, the silhouette, multiple perspectives, the nimbus round the head to signify presence or surprise

    創作中，小話參照了多個經典卡通人物，如tintin 、 asterix 、 calvin與hobbes 、 moomins以及slumberland里的little nemo ，同時運用很多卡通的標準技法，如說話泡泡或思考泡泡、圖像化的聲音、半邊臉大特寫、魚眼鏡頭角度、人物體態、多種透視法、表示驚訝或神怪的頭上光環等。
  2. Neural networks are used more frequently in lossy data coding than in general lossless data coding, because standard neural networks must be trained off - line and they are too slow to be practical. in this thesis, statistical language model based on maximum entropy and neural networks are discussed particularly. then, an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis

    傳統的人工神經網路數據編碼演算法需要離線訓練且編碼速度慢，因此通常多用於專用有損編碼領域如聲音、圖像編碼等，在無損數據編碼領域應用較少，針對這種現狀，本文詳細地研究了最大熵統計語言模型和神經網路演算法各自的特點，在此基礎上提出了一種基於神經網路和最大熵原理的算術編碼方法，這是一種自適應的可在線學習的演算法，並具有精簡的網路結構。
  3. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  4. This thesis discusses on the post - processing of sonar signal which includes the search and location of the target, the pattern recognition and the neural networks classification, and also carries out a process of the sea test data with the post - process - programs to verify the validity of the pattern recognition with bp neural network, which helps to develop the sonar image processing and the image processing of other fields

    本文在完成課題中的顯示控制任務同時，對聲納信號後置處理，包括目標的搜索定位以及模式識別和神經元網路識別等內容，進行了論述，並利用後置圖像處理程序對正樣機海試數據進行處理，驗證了bp神經元網路下模式識別方法在水聲圖像處理方面的有效性，有助於聲納圖像處理以及其他領域圖像處理的發展。
  5. Firstly, the original image data is reduced to segmentation, which can be implemented, by low - pass filters and media filters, etc ; secondly, features of image data, i. e. color component, texture, motion, frame difference and semantic information will be extracted ; thirdly, the determination to segmentation with some uniform standard is made based on the features

    本方案是基於像素點的聚類，分割得到的對象具有較好的邊緣效果並且不需要預先設定門限值。由於神經網路具有超強的容錯性，使得本方案對于受噪聲污染的圖像也具有一定的適應性。
  6. Due to disadvantage of fusion method generally, in this paper, the advantage of neural network based is used, these advantage include the ability of real - time processing data, the ability of knowledge overflowing and tolerance mistake of structure. taking the image of obstacle from ccd vidicon, these image must pretreat. and distill valid feature, at the same time, provide third dimension distance information from ultrasonic sensor group

    在本文中，利用基於神經網路的信息融合方法的實時處理大量數據的能力、知識泛化能力以及結構的容錯性等優點，把ccd攝像機攝取的障礙物圖象，進行預處理並且提取有效特徵，同時有超聲波傳感器組來提供其第三維的距離信息。
  7. In regard to the deformed character of the license plate and the varied illumination and strong noise disturbance conditions, this paper put forward a character recognition method based on the artificial neural network which has many merits, such as highly anti - interference quality, highly recognition rate

    針對車牌字元圖像的變形、非均勻光照、強噪聲干擾等條件，本文提出了一種基於神經網路感知機的字元識別方法，該方法具有網路結構簡單，識別速度快，抗干擾能力強，識別率高等諸多優點。
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