灰度共生矩陣 的英文怎麼說

中文拼音 [huīdùgòngshēngjǔzhèn]
灰度共生矩陣 英文
glcm
  • 灰 : Ⅰ名詞1 （物質燃燒后剩下的粉末狀的東西） ash 2 （塵土; 某些粉末狀的東西） dust 3 （特指石灰） lime...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 共 : 共動詞[書面語]1. （圍繞） surround2. （兩手合圍） span with the hand
  • 生 : Ⅰ動詞1 （生育; 生殖） give birth to; bear 2 （出生） be born 3 （生長） grow 4 （生存; 活） live;...
  • 矩 : 名詞1. （畫直角或正方形、矩形用的曲尺） carpenter's square; square2. （法度; 規則） rules; regulations 3. [物理學] moment
  • 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
  • 矩陣 : [數學] matrix; array
  1. In order to realize the automation of wood classification and recognition, wood texture parameter system was constructed by glcm, and the research of classification was carried on

    摘要為了實現木材分類識別的自動化，應用灰度共生矩陣建立了木材紋理的參數體系，並進行了分類研究。
  2. 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。
  3. Second, we do research on asthenia syndrome and sthenia syndrome. we first select sub - images from tongue image along the polygonal edge of the tongue, then based on the analysis of the texture properties of the sub - images, gray level co - matrix is used to extract features. the classification precision with theses features is higher

    其次，本文研究了舌質蒼老與舌質嬌嫩的分類，先應用演算法在舌邊自動選取了子圖像作為研究對象，然後應用灰度共生矩陣方法對這些子圖像進行了特徵提取和分類，取得了不錯的結果。
  4. 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
  5. 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。
  6. 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。
  7. The inertia value that is concluded by the algorithm of co - matrix was one of the better parameter for recognizing the two diseases

    通過對溫室黃瓜斑疹病和角斑病的處理研究發現，利用灰度共生矩陣方法提取出來的慣性值是識別這兩種病害較好的特徵參量之一。
  8. Including edge - detected, histogram, analysis of the texture and analysis of the shape

    包括邊緣檢測、顏色直方圖、灰度共生矩陣紋理分析、矩方法形狀特徵提取。
  9. Extracting 17 morphological features to stored - grain pests binary image, for example area, circle quality, invariable moment and so on. extracting 27 texture features to stored - grain pests " gray image. the morphological features extracted are normalized

    針對糧蟲的灰度圖像，提取出基於灰度直方圖、遊程長度和灰度共生矩陣的27個紋理特徵，並對提取的形態學特徵進行歸一化處理。
  10. With wavelet based gray - gradient symbiosis matrix to compute the ununiformities of gray distribution and gradient distribution, a kind of pollution index was defined

    利用小波的灰度梯度共生矩陣計算基於鄰域的圖像灰度分佈不均勻性和灰度梯度分佈不均勻性。
  11. Texture statistics are extracted from the spatial grey level dependency matrix of each image

    利用灰度共生矩陣提取圖像的紋理特徵量。
  12. Gray scale co - existing matrix is an effective method for describing texture. this paper gives the procedure for retrieving images based on the characters extracted form it

    灰度共生矩陣法是一種有效的統計方法，本文實現了從灰度共生矩陣抽取統計特徵來進行基於紋理的檢索。
  13. 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。
  14. Analysing the texture of wear surface image through fourier frequency spectrum and grey matrix eigenvalue, image texture has respective character because of affection of different wear methanism

    通過傅立葉頻譜和灰度共生矩陣特徵量的提取對圖像進行紋理分析，由於不同磨損機制的作用，圖像紋理具有不同的特性。
  15. 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。
  16. Co - occurrence matrixes identify repeated occurrences of gray level pixel configurations within the texture

    共生矩陣確定紋理的灰度級象素組態。
  17. 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。
  18. 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。
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