occurrence matrix 中文意思是什麼

occurrence matrix 解釋
事件矩陣
  • occurrence : n. 1. （事件的）發生，出現，有；【礦物】存象，（礦床等的）埋藏；產地。2. 遭遇，事件，事故。
  • matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
  1. Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods, which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images. in the second part the principle of classification and bp neural network were introduced. combined with textural features, the improved bp neural network successfully performed on the classification of the satellite images

    論文的第一部分介紹了進行紋理特徵研究的一些典型的方法，利用其中的基於統計的紋理分析法中的灰度共生矩陣以及灰度一梯度共生矩陣法，分析了衛星雲圖上五類區域的紋理特性；第二部分主要介紹了遙感圖像分類原理以及神經網路中的bp演算法，在對演算法原理進行深入理解的基礎上，把紋理特徵與神經網路進行組合，實現對衛星雲圖進行分類分析；第三部分內容是在前面圖像分類結果的基礎上，對序列圖像用相關匹配法進行運動分析，反演雲跡風風場。
  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. Rotation - cavitation mechanism was outlined based on the experiment results and the essential conditions for the occurrence of auxetic properties in polyolefin blends were concluded as followed : firstly there must be at least two phases, the matrix can be soft materials which were able to be networks when being stretched, as well as suitable consistence must be provided between two phases. fracture stress work measurement was optioned to characterize the force between two phases. finally, the auxtic property repeatability of the blends was measured and the fact that the auxetic property could only occur in the elastic range was certificated by the result that only the specimens which were stretched for 5s, 10s had repeatability after being retained for 1 months

    實驗工作的最後一部分研究了體系負泊松比效應的可重復性，選取穩定的負泊松比共混體系在測試數據採集時間為55 、 105 、 155 、 205條件下進行測試，將樣條放置l天、 10天、 30天進行測試，測試結果表明，在5s 、 105條件下測試的試樣在放置一個月後泊松比測試結果具有可重復性，證實了體系的負泊松比現象發生在材料的彈性形變范圍內。
  4. A new feature extracting algorithm based gray level co - occurrence matrix

    一種新的灰度共現矩陣特徵提取演算法
  5. Seafloor sediment classification using a neighborhood gray level co - occurrence matrix

    基於鄰域灰階共生矩陣的海底沉積物分類
  6. Content - based image retrieval in database using svm and gray primitive co - occurrence matrix

    和灰度基元共生矩陣進行圖像數據庫檢索
  7. The segmentation method of retinal blood vessels based on gray level - gradient co - occurrence matrix

    梯度共生矩陣的視網膜血管分割方法
  8. This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation

    本文以圖像數據庫檢索為主線，討論了基於視覺內容的圖像檢索方法，提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式；對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法，並將改進遺傳演算法應用到圖像分割中，編制了相應程序。
  9. On this basis, the four numerical features identifying the content of image are raised from gray - level co - occurrence matrix of the image

    在此基礎上，利用圖像的灰度共生矩陣，統計出反應紋理一致性、紋理對比、紋理的熵和紋理相關性的數量值。
  10. Based on different texture of the face and the inverse of leather, this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector

    由於皮革正面和反面具有明顯不同的紋理特徵，本文用共生矩陣提取皮革正反面的紋理特徵，並根據提取的特徵向量採用分類器對皮革正反面進行自動識別和分類。
  11. Automatic visual inspection for foamed mask packing products based on co - occurrence matrix and color features

    基於共生矩陣和顏色特徵的泡罩包裝缺陷檢測
  12. It is more efficient to use texture feature to describe an image with complicated textural contents. grey co - occurrence matrix, which is a 2d color statistical feature, is often used to analyze such images

    對富含紋理圖像，採用紋理特徵表達會更有效，顏色的二維統計方式?灰度共生矩陣是常用方法。
  13. For evaluating the skin texture objectively, a novel measuring and recognizing model for skin texture is founded based on adopting spatial gray level co - occurrence matrix of image texture analysis to extract important features of skin texture

    摘要為了可觀地評價皮膚的質地，採用圖像紋理分析中的空間灰度共生矩陣法提取皮膚紋理圖像的重要特徵，建立一種新的人臉皮膚紋理的測量識別模型。
  14. The author uses the stabilization of parameter to combine the isolated images and process. with the help of matlab plat form, firstly we use binary image, rgb color space and yiq color space, gray co - occurrence matrix and shape analysis to deal with the images, then we use the stabilization of parameter to deal with the data. the result of recognition is good

    作者首先採用rgb顏色空間處理法、 yiq顏色空間處理法、二值化圖像處理法、灰度共生矩陣處理法、形狀分析法對圖像進行處理，處理后所得到的數據再用參數穩定性處理法處理，這樣，就將圖像與與其所在過程結合起來，實踐證明，運用這樣的處理方法所得到的識別效果較好。
  15. In this dissertation a new statistical tool called as grey - primitive co - occurrence matrix is proposed, which is based on predefined specific primitive texture structures. the features extracts from a set of this type matrix can be formed as a primitive texture feature vector and used in retrieving images from image database

    本文將統計方法與結構方法有機地結合起來，構建了紋理基元，提出了描述紋理圖像的灰度?基元共生矩陣，從這個矩陣中提取用以描述圖像的特徵值，並組成檢索圖像的特徵向量。
  16. First, original co - occurrence matrix feature parameters of wood were extracted in noise condition, earned on feature selection, and constructed parameter system of wood texture

    首先在無噪聲的環境下提取了木材的共生矩陣紋理原始特徵參數，並對其進行特徵選擇，進而建立了木材紋理參數體系。
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