feature extraction 中文意思是什麼

feature extraction 解釋
特臻取
  • feature : n 1 形狀，外形；特色；（特指）好看的外表；〈pl 〉臉形；五官；面目，容貌，面貌，相貌。2 臉面的一部...
  • extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
  1. Second, more feature points are extracted for advanced registration based on projective transformation. compared with the ordinary method, our method has a better robust feature with higher accuracy, it also has a fully automatic feature so it need little human intervention in the whole process. the image segmentation, feature extraction, feature correspondency, and transformation model of multi - modality medical image registration are also studied in this paper

    本研究的創新之處:針對rf和fa視網膜圖像的特點，提出了新的血管細化的新方案;在特徵點提取方面，提出了「三輪定心」這種新的特徵點提取方法;提出了由「粗配」到「細配」的混合配準方法;力矩主軸法用於圖像配準參數的估計及對應性尺度參數范圍的定值。
  2. Application of multiresolutional filter on feature extraction of palm - dorsa vein patterns

    多解析度濾波在手背血管特徵提取中的應用
  3. Feature extraction of eeg based on grey system theory

    基於灰色系統理論的腦電特徵提取
  4. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  5. Through the inspecting, the author selected three methods of eradiate noise ' s feature extraction. the methods include the pedigree, e - filter, fractal. in those methods, the pedigree is based on frequency field, the e - filter is based on the energy field and the fractal is based on time field

    本文作者經過考察，採用了三種前期研究中較為有效的水下目標特徵提取方法? ?基於功率譜估計的線譜特徵提取方法、基於小波分析的不同頻段內能量特徵提取方法和基於水聲信號分維特性的特徵提取方法。
  6. The characteristic of power quality signal ' s deal by wavelet multi - resolution decomposition and time - domain analysis is studied then brings forward combine the tow methods and uses it to filter bed yawp, decomposition and feature extraction. 8 kinds of power quality are classified and characterization of sag is specially classified

    然後研究了小波多解析度分解和時域分析電能質量信號處理的特點，提出了應用兩種方法相結合的方法，對電能質量信號進行去噪、分解，通過大量的計算機模擬工作，對擾動信號進行了特徵提取。
  7. In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis

    本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。
  8. Since the problem of feature extraction from 2 - d radar data can be approached as a parametric modeling and parameter estimation problem, the 2 - d type - discriminated geometric theory of diffraction based ( td - gtd ) model that discriminate between the localized and distributed scattering centers of the target is presented

    在對目標散射中心的建模與參數估計中，提出採用更貼近散射機理的、特徵含量更為豐富的二維散射中心模型?區分局域性與展布式散射中心類型的幾何繞射理論（ td - gtd ）模型。
  9. Secondly, in the feature extraction stage, haar 2 - d wavelet transform is used in each band of the normalized image. the mean values and variances of the coefficients of 7 main wavelet channels are extracted as features

    該演算法通過對歸一化處理后虹膜圖像的各個小分割區域進行二維小波變換，提取出主要小波通道的小波系數均值和方差作為特徵值。
  10. 6 an algorithm of kurtosis signal - to - noise ratio ( ksnr ) based the mot - radiated noise polyspectrum feature extraction is presented

    6提出了基於峰度信噪比的水下h標輻射噪聲的多譜特徵提取演算法。
  11. Fingerprint image feature extraction mainly extracts the minutiae and their positions

    指紋圖像的特徵提取主要是提取指紋的細節特徵及其位置。
  12. Palmprint feature extraction based on wavelet transform

    基於小波變換的掌紋特徵提取
  13. Wavelet energy feature extraction and matching for palmprint recognition

    用於掌紋識別的小波能量特徵的提取和匹配
  14. As the crucial part of palmprint recognition, this paper mainly focuses on the ideas and usefulness and implementation of these two feature extraction algorithms

    作為掌紋識別的關鍵部分，本文著重闡述兩種特徵提取演算法的思想、作用和實現過程。
  15. A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given

    使用分形方法提取目標的特徵，在知識指導下，提出了一種基於目標特徵模型的降維的形態學分形維數計算方法，對傳統分形方法進行了改進，從理論上推證了演算法的合理性，並對演算法進行了模擬分析；針對傳統hough變換無法獲得線段端點和長度信息的局限性，提出了一種基於目標特徵先驗知識的hough變換融合策略，通過引入目標先驗知識，可以有效地獲得直線信息；對信息多而復雜的機場目標採用基於知識的目標識別方法，使用置信度模摘要型實現不確定推理，對目標進行識別判斷，將知識貫穿于整個識別過程中，對目標進行了有效地識別。
  16. In this paper, we established an automatic fingerprint recognition software system with micro - computer. it can pretreat, do feature extraction and recognize the input fingerprint dynamically

    本文建立了一個微機指紋自動識別軟體系統，該系統能夠動態地對輸入指紋圖像進行預處理、特徵提取和識別工作。
  17. Furthermore, the question of feature extraction of three millimeter pulsed radar echo using wavelet neural network is investigated

    此外，論文還研究了用小波補經網路提取三毫米脈沖體制雷達回波信號特徵的問題。
  18. 2. investigating unclosed special structures ’ feature extraction and recognition

    2 .研究非封閉型奇異紋的特徵提取和識別演算法。
  19. The proposed method in this paper raised a way of relatively high performance recognition of pitman shorthand vocalized outline. the approach includes : a ) segmentation of the vocalized outlines, including correction of the over segmentation based on neural networks. b ) feature extraction and recognition of pitman shorthand consonant signs using neural networks

    在解決這些問題的基礎上，完成了本文，主要內容有： （ 1 ）速記手寫體的預處理； （ 2 ）輔音多音節音素符筆劃的二次分割法，以及基於神經網路的對過分割的檢測和糾正； （ 3 ）基於神經網路的pitman速記輔音符號的識別； （ 4 ）基於單個符號識別結果的整體單詞識別。
  20. Develop and applicate a method of feature extraction for crowd detection

    應用特徵抽取圖像技術進行車站人群監測的初探
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