texture edge detection 中文意思是什麼

texture edge detection 解釋
結構界線檢測
  • texture : n 1 （織物的）組織，結構，質地，織法。2 織品，織物。3 （皮膚的）肌理；（巖石、木材等的）紋理。4 ...
  • edge : n 1 刀口，（刀）刃；鋒；端；銳利。2 邊，棱，邊緣，邊界，界線，界限。3 優勢，優越條件。4 （聲調、...
  • detection : n. 1. 探知；發現，發覺；敗露。2. 【化學】檢定，檢查；【電訊】檢波。
  1. The rnultiscale edge detection and texture image segmentation are studied based on the variogram function

    我們基於變差函數的這種性質對圖像的多尺度邊緣檢測和紋理分割作了較為深入的研究。
  2. In feature extraction step, we apply homogeneity into text detection, and we compare using the gradient, edge extract and homogeneity mapping to enhance corners and texture features, and then use a slip window to get different kinds of texture features as the feature vector, and then after comparing the accuracy result of svm and bp neural network, we choose svm as the classifier

    在特徵提取步驟中，本文把一致性h應用到文本區域提取領域，使用邊緣空間映射和一致性h空間映射兩種方法得到特徵圖像，並比較了兩種空間對于文本提取的影響;對得到特徵圖像，使用滑動窗口比較了提取不同維數的紋理特徵作為特徵向量的結果。
  3. Then the exisiting algorithms on iris location are studied and the disadvantages are pointed. a new approach based on edge detection, mathematic morphology and probability statistic is put forward. after studing the means of daugman ’ s encode of iris texture and w. w. boles ’ extraction the unique features by the zero - crossings of the wavelet transform, we adopted wavelet multi - resolution analysis that extract the feature

    在研究和分析了前人的虹膜定位演算法以及daugman對虹膜紋理的編碼方法、 w . w . boles的小波過零點分析提取虹膜特徵識別演算法的基礎上，研究了基於邊緣檢測和數學形態學以及概率統計等理論的一種新的虹膜定位方法;研究了虹膜圖像的歸一化和圖像增強;研究了基於db4小波的多分辯率分析的虹膜特徵提取演算法;研究了相關系數匹配識別。
  4. Computer image processing technology analysising the wear surface character had developed rapidly, and got widely recognition and application. according to the wear - surface image obtained by digital image - collection system, i analyse the wear mechanism, then, construe wear shape character with edge detection and skeleton map technology, calculate the proportion of different wear mechanism to the whole mechanism with area measurement, judge the texture character of image based on the method of texture analysis so as to provide reference for the computer ' s intelligentize identity to wear methanism

    本文根據數字圖像採集系統獲得的磨損表面圖像，進行磨損機制分析，並運用數字圖像處理技術中的邊緣檢測和輪廓提取等技術，對磨損形狀進行特徵提取和分析，運用面積測量可計算不同磨損機制在整個磨損主體所佔的比重，並根據紋理特徵分析方法判斷圖像的紋理特徵，為實現計算機對磨損機制的智能化識別提供參考。
  5. We designed and made the attraction device to attract agricultural pests, obtained agricultural pests " images with the color camera, processed images based on wavelet analysis. on the basis of these, we emphasized on extracting effective features, put forward recognizing pests " classes with pests " colors and texture features, and succeeded in extracting five efficient features such as color features, wave image edge moments features and so on. then we selected features, inputted into neural network classifier, recognized pattern, presented detection results

    本文設計製作了誘捕裝置，誘集農田害蟲，使用攝像頭攝取害蟲圖像，採用小波分析進行圖像處理，在此基礎上重點進行了特徵提取工作，提出了利用害蟲顏色和紋理等特徵進行種類識別的觀點，並成功提取了彩色特徵、小波圖像邊緣矩特徵等五類有效特徵，並經特徵選擇后輸入神經網路分類器進行模式識別，最後給出檢測結果。
  6. At the same time, according to the excellent capability of ip curves, we study fitting and description of objects, determination of invariants of objects, symmetry detection and recognition of objects based on ip curves. in all, the main contributions in the dissertation are as follows : ( 1 ) a method of determining automatically the scale of the multiscale edge detection is proposed based on the variant distance of the variogram function, and a method of segmenting texture images is also presented. the variograin values are taken as stochastic and structural properties of texture images and variant distance is taken as the size of image window

    同時，基於隱含多項式曲線良好的物體描述與識別能力，對物體邊界輪廓的擬合、描述、不變量特徵的提取、識別以及物體對稱性檢測作了系統的研究，主要成果及創新之處有： （ 1 ）基於變差函數的變程，提出了圖像多尺度邊緣檢測中尺度大小的自動確定方法；將變差函數的變差值作為紋理的統計和結構特徵，依據變程確定窗口大小，給出一種新的紋理圖像的分割方法。
  7. Secondly, some techniques for image segmentation, such as edge - detection, grayscale thresholding and texture, are represented in detail. in the third part, two primary ways are designed for 3d modeling, one is based on the contours triangularization while the other is based on the iso - surfaces extraction. we use a condensed history monte carlo method to calculate and build up the radiation dosimetry, which is a regular data set suitable for creating the iso - surfaces

    論文首先介紹了醫學影像的獲取和預處理的方法，包括dicom標準、醫學影像的圖像增強及圖像校正等內容；提出了基於邊緣提取、灰度閥值和紋理信息等原理的器官分割方法；為了建立三維人體模型，介紹了兩類方法；基於輪廓線的方法和基於等值面提取的方法；在建立放射劑量場時，使用了經典的montecarlo方法；最後，詳細介紹了傳統的等值面提取方法（ marchingcubes ） ，並提出了一種啟發式搜索的marchingcubes方法。
  8. The multiscale edge or texture feature of the image is characterized using the edge detection method based on dyadic wavelet transform. the watermark is embedded into the phase components of the multiscale edges

    利用基於二進小波變換的邊緣檢測方法刻畫圖像的多尺度邊緣和紋理特徵，在邊緣的相位成分中嵌入水印。
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