紋理分割 的英文怎麼說

中文拼音 [wénlǐfēngē]
紋理分割 英文
texture segmentation
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 割 : 動詞（截斷） cut; mow
  • 紋理 : vein; lines; stripes; grain; graining; varvity; texture紋理方向 grain direction
  1. 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。
  2. It first finds the best features that are extracted from glcm and explain the texture clearly in different resolution, and then segments on different level, at last, by combining the structure information of texture edge, extract the edge of different patterns to get a relatively accurate result of texture segmentation

    該演算法有效的利用了由灰度共現陣得到的、不同解析度上最能表述紋理特性的統計特徵，分層次對圖像進行分割，然後結合紋理的結構信息對邊緣區域進行邊界定位，進而得到較準確的紋理分割圖。
  3. Texture segmentation with wavelet transform and feature weighting

    利用小波變換和特徵加權進行紋理分割
  4. ( 6 ) we have studied the methods of image texture segmentation systematically

    6 、基於遙感圖像紋理分割方法的研究。
  5. Texture segmentation of multispectral remote sensing image based on markov random field

    基於馬爾柯夫隨機場的多波段遙感影像紋理分割研究
  6. The texture feature is the important feature of the remote sensing images

    紋理是遙感圖像的重要特徵，而紋理分割對遙感圖像的識別具有重要意義。
  7. An novel, digital screening method is developed to adopt different halftone algorithms by image segmentation

    摘要提出了一種新的基於圖像內容紋理分割的加網方法。
  8. The arithmetic that aims at the problems of texture segmentation is improved and the experiments have been done

    針對紋理分割過程中存在的一些問題，對演算法進行了改進，並進行了模擬實驗。
  9. 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。
  10. In order to decide the number of regions adaptively, this paper introduced a valid function based on intra - class and inter - class variance

    同時為了自適應確定紋理分割區域數，引入了一種基於類內方差和類間方差的有效值函數。
  11. As an important aspect of digital image process and pattern recognition, texture segmentation has always been one of the hottest and most difficult study topics

    紋理分割是圖像處理和模式識別中一個重要的研究內容，一直以來是人們研究的熱點。
  12. Texture segmentation is an important and difficult problem in the texture analysis ; texture feature extraction and classification are crucial in the texture segmentation

    紋理分析中一類重要且難度較大的問題是紋理分割，紋理特徵的提取和特徵的分類是紋理分割的關鍵。
  13. 3. three texture segmentation models are analyzed thoroughly combined with basic characteristics of region target and a texture segmentation model is presented according to the character of residential areas. 4

    結合遙感影像中面狀目標的紋理特徵，深入分析了前人提出的三種紋理分割模型，並結合居民地的特點提出了基於幾何結構信息的紋理分割模型。
  14. It adapts to both color and gray image, and is a kind of texture - based image segmentation method

    該方法是一種基於紋理分析的圖像分割演算法，適合於彩色及灰度圖像。
  15. In this thesis, we improve the bemd method which is introduced by j. c. nunes et al. our approach has good effects in texture segmentation, image denoising and image decomposition without parameter

    本文根據j . c . nunes等人提出的bemd的基本思想，進行了一定的改進，實現了基於bemd方法的圖像無參數分解、紋理分割和圖像降噪，取得了不錯的效果。
  16. According to the license plate region texture and the gabor wavelets filters character, which is a good simulation of the human vision, we investigate the license plate region segmentation based on texture analysis

    針對車牌紋理特徵，本文利用gabor小波濾波能模擬人類視覺的特點，研究了基於紋理分析的車牌圖像分割技術。
  17. After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed

    提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
  18. Secondly, texture segmentation based on local binary pattern ( lbp ) texture descriptor is very time consuming. for one thing, we adjust the computing method of lbp, for another, set two merging threshold instead of only one

    第二，針對局部二進制模板紋理分割速度較慢的問題，本文一方面調整了模板運算元的計算方式，另一方面將單一門限的區域合併改進為雙門限合併。
  19. It also presents a hybrid approach on the basis of the synergetic network and texture spectrum, which utilizes the advantages of both the top - down synergetics and the traditional down - to - top classifying methods to construct the multi - classifier. the first level classifier is based on snn, in which a novel prototype selection algorithm on the basis of texture features instead of pixels is presented and the second level the texture segmentation algorithm based on the global texture spectrum. finally, it tests the multi - classifier with a great

    在筆跡鑒別多分類器模型的構造中，本文將協同神經網路與紋理譜概念相結合，由自上而下的協同方法和自下而上傳統分類識別方法相結合構造多分類器，第一層分類器基於協同神經網路，其中，在原型模式的選擇演算法上，本論文提出了用紋理特徵替代象素的協同模式識別演算法；第二層分類器基於全局紋理譜的紋理分割演算法。
  20. Based on fuzzy clustering algorithm, we studied the objective function of the traditional fuzzy c - means algorithm and proposed a modified objective function for fcm ; we discussed clustering validity problem, and a texture segmentation method based on adaptive fcm has been constructed by the guidance of fuzzy clustering validity

    在介紹聚類演算法的基礎上，研究了模糊c -均值聚類演算法目標函數的改進問題，提出了基於修正目標函數的fcm演算法；討論了聚類有效性問題，在模糊聚類有效性函數指導下構造了一種自適應模糊c -均值聚類演算法的紋理分割方法。
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