image feature extraction 中文意思是什麼

image feature extraction 解釋
圖像特徵抽取
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  • 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. 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。
  3. Optical implementation of haar edge wavelet and extraction of image feature

    子波的光學實現及圖像邊特徵提取
  4. 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。
  5. 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。
  6. 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。
  7. It can save the information near lips, which may be deleted by the method based on two points. ( 2 ) based on the analysis of current methods, a new multi - pose facial feature location algorithm is developed, which is based on the analysis of multi - feature and integral projection, the combination of an iterative search with a confidence function and template matching. the algorithm not only improves the location accuracy, but also speeds up a great deal. ( 3 ) based on the analysis of the advantages and disadvantages of current feature extraction methods, an adaptive facial feature selection criterion is developed, which is based on facial local feature protrusion consisting of several aspects, such as face image resolution and image quality

    其後研究了人臉特徵提取，一、討論了適合於多姿態人臉識別的基於三點仿射變換的人臉圖像歸一化方法，以克服基於兩點仿射變換會引起較大圖像信息損失的缺陷；二、在分析現有器官定位演算法的基礎上，提出了新多姿態人臉器官特徵定位技術，將多特徵和直方圖分析、基於置信度函數的迭代搜索和模板匹配相結合，既提高了器官定位精度，又提高了定位速度。
  8. The feature extraction is based on overlap gridding feature in valid area of image, and it can enhance the stability of feature

    同時在圖像有效區域提取局部交疊網格特徵，增強了特徵穩定性。
  9. On the other hand the information cryptogram technology and card identification of 1c appl ication system are also introduced. a novel fingerprint image preprocessing method is studied based on the trend of fingerprint veins, and some feature extraction and fingerprint matching methods based on fingerprint minutia based on a novel multi - fitness genetic algorithm ( mfga ) are also studied

    在分析了國內外指紋識別理論研究的基礎上，研究了一種基於指紋紋線趨勢的指紋圖象預處理方法並取得了較好的模擬效果；研究了遺傳演算法在指紋模式匹配中的應用，針對遺傳演算法在模式匹配的局限性，提出了一種多適應度遺傳演算法（ mfga ） ，並在此基礎上對原遺傳匹配演算法做了進一步的改進。
  10. The image characteristics obtained by normal feature extraction generally have no stability appearing as variant positions on different intensity of illumination for the same scenery and analysis precision is seriously affected

    常規的圖像特徵提取方法提取的特徵一般不具備穩定性，表現在不同光照條件下對同一景物拍攝的圖像提取的特徵的位置是不同的，這將嚴重影響三維景物分析的精度。
  11. Abstract : the image characteristics obtained by normal feature extraction generally have no stability appearing as variant positions on different intensity of illumination for the same scenery and analysis precision is seriously affected

    文摘:常規的圖像特徵提取方法提取的特徵一般不具備穩定性，表現在不同光照條件下對同一景物拍攝的圖像提取的特徵的位置是不同的，這將嚴重影響三維景物分析的精度。
  12. Then, lda is followed and employed for the second feature extraction in the transformed space. based on this framework, a combinatorial optimal lda ( olda ) algorithm is proposed. experiments is performed on orl face image database as well as nust603 face image database, and the experimental results indicate that olda is robust, efficient and superior to the previous lda - based methods in terms of recognition accuracy

    進一步地，在該理論框架下，具體給出了處理高維、小樣本問題的組合最優的線性鑒別分析演算法，在orl標準人臉庫和nust603人臉庫上的試驗結果證實了該方法的卓越性能，在識別率方面均優于以往的同類方法。
  13. Rather, in this paper, two straightforward image projection techniques, termed image principal component analysis ( 1mpca ) and image fisher linear discriminant analysis ( imlda ), are respectively developed to overcome the weakness of the conventional pca and lda as applied in image feature extraction

    在orl標準人臉庫和nust603人臉庫上的試驗結果表明，與通常的主分量分析與線性鑒別分析方法相比，圖像投影鑒別分析與主分量分析技術將特徵抽取的速度提高了一個數量級以上。不僅如此，其識別精度依然高於傳統的eigenfaces與fisherfaces方法。
  14. Secondly, concerning the feature extraction of image, the corner detection algorithm based on freeman chain and the one based on area ratio are studied comparatively and an improved corner detection algorithm based on area ratio is proposed

    第二，在圖像的特徵提取方面，本文對freeman鏈碼角點檢測方法和面積比角點檢測方法進行了比較研究，提出了一種改進的面積比角點檢測方法。
  15. Underwater image processing is one of the key factors in auv vision, the result of which acts as the input of feature extraction and recognition of the underwater objects

    水下圖像處理技術是auv視覺模塊的關鍵技術之一。水下圖像處理結果的好壞直接影響到特徵提取和目標識別的成敗。
  16. Binocular vision research is one of the most active branches of computer vision technology, including many research aspects such as camera calibration, image acquisition, feature extraction, stereo matching, depth measurement and depth information interpolation

    雙目視覺研究是計算機視覺研究中最為活躍的分支之一，主要包括攝像機定標、圖像採集、特徵提取、立體匹配、深度計算及深度信息內插六部分內容。
  17. For the detecting and tracking of objects in a static background, we summarize mature detecting algorithms, compare the adjacent frame difference method with the adaptive background difference one and implement an automatic object detecting and tracking system based on adaptive background difference and kalman filtration. as for image feature extraction, we systematically summarize available extraction methods and present the definition of image feature points

    靜止背景中目標檢測和跟蹤方面，本文在前人大量工作的基礎上，總結了成熟的靜止背景中目標檢測演算法，試驗對比了瞬時差分法和自適應背景相減法，提出並實現了一個基於自適應背景相減法和卡爾曼濾波的自動目標檢測和跟蹤系統。
  18. Pulse coupled neural network ( pcnn ) is a new generation of artificial neural networks and is characterized with adaptive image separation and adaptive image feature extraction

    脈沖耦合神經網路是新一代的人工神經網路，具有優良的自適應圖像分割和自適應圖像特徵提取能力。
  19. 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

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  20. In this article, pattern recognition is used as theory foundation and image process technology as basic technology. combining with the new theory tools ( wavelet analysis and neural network ), this paper presents effective resolve methods to three parts of image recognition ( image segmentation, image feature extraction and image classificaton ) thought systemic analysis of it

    文中以模式識別為基本理論平臺，以圖像處理技術為基本手段，結合新興領域的理論工具（小波分析，神經網路等） ，分別對圖像分割，圖像特徵提取，圖像分類識別三個問題作了系統研究，並提出了有效的解決方法。
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