gabor filter 中文意思是什麼

gabor filter 解釋
gabor濾波器
  • gabor : 蓋博
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. We excogitate the gabor filter based - on sub - block texture analyse to extract the feature of iris normalized image and encode them. then, we use hamming distance to match two iris codes. in order to reduce the rotation of iris, we work out a new method

    4 .研究出基於子塊紋理分析的gabor濾波器方法來對虹膜歸一化圖像進行特徵提取和編碼;在虹膜編碼匹配中，本論文採用hamming距離來進行編碼之間的匹配。
  2. At first, the paper confirms singular area by singular detection, then designs a series of low - pass filters that have different templates according to the different position in finger image for a local area, at last sets up gabor filter parameters according to the characteristics of fingerprint image. the improved enhancement algorithm has a better robust, and can preserve texture structure of singular area effectively. in binary noise clearance, the paper presents an algorithm that clears the biggish white speckles and black speckles

    在指紋圖像增強方面，本文針對傳統的基於gabor濾波器指紋圖像增強演算法魯棒性差以及通常會改變奇異區紋理結構的缺點，對原有演算法進行了一些改進:首先通過檢測奇異點確定奇異區，然後根據局部區域在指紋圖像中的位置構建相應取值方式的低通濾波器並對該局部區域方向圖進行濾波，最後根據指紋圖像紋線的特點對gabor濾波器參數進行設置。
  3. Based on computer vision theory and technology, extracting the lane edges by means of gabor wavelet filter ' s direction character and theory of statistics

    利用計算機視覺理論和技術，引入了基於gabor小波濾波器的方向特徵和統計原理來進行道路檢測。
  4. ( 4 ) a fingerprint image enhancement method based on gabor filter is presented and realized

    （ 4 ）給出並實現了一種基於gabor濾波的指紋圖象增強改進方法。
  5. In the part of image preprocessing, a segmentation algorithm for fingerprint image based on the information of gradient orientations was programmed. according to the uniformity and partial parallarity of ridges and furrows of fingerprint, a model of gabor filter was established to enhance fingerprint image. since two - dimensional gabor filter could be separated into two one - dimensional filters, the complexity of the algorithm could be reduced efficiently

    在圖像預處理方面，利用指紋圖像梯度特性進行圖像分割，根據指紋紋線間距均勻且局部平行的特點，建立了用於指紋圖像增強的gabor濾波函數物理模型，並將二維gabor濾波分解為兩次一維濾波，有效降低了演算法的復雜度。
  6. The expression of gabor wavelet filter is presented

    給出了gabor小波濾波器的表達式。
  7. The application of gabor filter in fingerprint segmentation

    濾波器在指紋圖像分割中的應用
  8. The principle of gabor filter is expounded

    闡述了gabor濾波器原理。
  9. The neural network recognizing algorithm based on multi channel gabor filter feature is presented

    相應地給出了一個基於多通道gabor濾波器特徵神經網路識別演算法。
  10. The multi channel gabor filter is designed based on theory and practicality, the texture features of gray image target are extracted

    根據理論分析和實際需要，設計了多通道gabor濾波器，提取了灰度圖像目標紋理特徵。
  11. In gabor filter, we use eight directional filtering to process fingerprint image to compare wiener filtering, we get good process result

    在預處理中，採用八個方向的gabor濾波對指紋圖像進行濾波，把它與維納濾波作比較，得了較好的試驗結果。
  12. The gabor filter is used to extract the characteristics. in this method, the jet which is a kind of the multi - scaled analysis methods is used, and get a good result

    本文使用gabor濾波器，多尺度提取方向特徵，在對方向性強的紋理特徵的分割中有很好的效果。
  13. By comparison among the results when using a lot of algorithms in feature extraction, we choose gabor filter for its good quality in low frequency

    通過對多種演算法進行比較，本文選擇了使用gabor濾波作為提取紋理的特徵的方法。在特徵分類演算法中，本文選擇簡單的聚類演算法。
  14. The improvements make segmentation more effective. in image enhancement, the paper improves the algorithm of fingerprint image enhancement based on gabor filter according to its disadvantages

    改進后的分割演算法對對比度不均衡、較復雜噪聲的指紋圖像均具有滿意的分割效果。
  15. Though some persons have presented the idea to use gabor for edge detection before, they only gave the one - dimensional ( 1d ) gabor filter - based edge detection method for step edge. this paper not only gives the two - dimensional ( 2d ) gabor filter - based edge detection method for step edge, also the one - dimensional ( 1d ) method for ramp edge

    雖然有人已經對這種方法有過闡述，但其只對一維階躍邊緣作了分析，本文在此基礎上，提出了二維階躍邊緣的最佳gabor濾波器設計方法，同時，提出了斜坡邊緣模型，給出了一維斜坡邊緣的最佳gabor濾波器設計方法。
  16. Then adjust the parameters of gabor filter using the orientation and average ridge frequency at each pixel to realize adaptive filtering. the unrecoverable region is segmented based on orientation certainty. experimental results show a very good visual enhancement effect

    求出每個象素點處的紋線方向和方向一致性，以及紋線的平均頻率，用方向和平均頻率調節gabor濾波器對每個象素點進行自適應濾波，並利用方向一致性分割出不可恢復區域，實驗表明具有很好的增強視覺效果。
  17. The followings are the major tasks in the thesis : 1 ) in space domain, 24 gabor wavelets filters are constructed. according to the optimal band of gabor wavelets filter choosing criterion, we choose the 12 gabor wavelets filters, which are verified the information of the 12 filtered images included above 98 % all the information of the all filtered images by the experiments " results

    本文的主要工作如下： 1 ）在空間通過卷積構造了24個gabor小波濾波器，提出一個基於最小平方誤差選擇最佳gabor小波濾波器組的方法，實驗證明選取的12個gabor小波濾波器濾波后圖像重構信息代表了所有濾波后圖像重構信息的98以上。
  18. ( 2 ) according to multi resolve principle, a new multi channel filter based gabor wavelet was designed

    （ 2 ）基於多分辨分析原理，設計一種新的基於gabor小波的多通道濾波器。
  19. Main works based on the newspaper samples is just as the following : ( 1 ) texture block is designed to embody more font characters. ( 2 ) filter orientation is optimized with genetic algorithm to make the angle set subtler. then the multi - channel gabor filter may extract better features

    通過對實際字體樣本的分析，本文主要完成了以下工作： （ 1 ）設計了更能體現字體特徵的紋理圖像塊； （ 2 ）利用遺傳演算法對濾波角度進行了優化選擇，得到了更為精細的角度集合，以此生成的多通道gabor濾波器能夠提取穩定的字體特徵； （ 3 ）字體樣本的分佈具有多峰性質，以動態聚類演算法得到的分段線性分類器更好地分類字體。
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