image classification 中文意思是什麼

image classification 解釋
圖像分類
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  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. An approach of mesh and striation texture recognition for ore microscope image classification

    礦物顯微圖像中網孔狀及針板狀成分識別方法研究
  3. Hierarchical image classification methodology aiming to obtain the maximum number of land cover classes through auto - classification procedures,

    分級圖像分類方法，目的在於通過自動分類程式獲取最多的土地覆蓋類型。
  4. Partition - based image classification using svm

    用於基於塊劃分特徵提取的圖像分類
  5. Based on statistic pattern recognition principle of identifying the image classification, the exactitude identifies the image of an unqualified glass container

    基於統計模式識別原理對處理后圖像進行識別分類，正確識別出不合格的玻璃容器的圖像。
  6. Synthetic aperture radar ( sar ) image classification is a key technique of sar image interpretation

    合成孔徑雷達（ sar ）圖像分類是sar圖像解譯的關鍵技術之一。
  7. 22 breen c, khan l, ponnusamy a, wang l. ontology - based image classification using neural networks. in proc

    建立的本體包括藝術圖像各個方面的語義概念從而可使用戶從各個角度查找需要的視覺信息。
  8. At last, svm algorithm has been applied to remote sensing image classification. compared with k near neighbor and adaptive min - distance algorithm, the experience result presents that svm algorithm has better classification effect. and the experience result also shows us that svm algorithm has good application foreground in the aspect of remote sensing image classification

    最後將svm演算法應用到遙感圖像的分類，通過與自適應最小距離法和k近鄰法的實驗結果進行比較，得出svm演算法具有更好的分類效果，也說明了svm演算法在遙感圖像分類方面具有很好的應用前景。
  9. Satellite image classification ; fractal ; neural networks ; texture and structural characteristics

    衛星數字圖像分形神經網路紋理結構特徵
  10. It is a new approach to improve the accuracy of image classification in combining spectral feature with texture and structural features of ground objective on satellite image. based on the recognizable characteristics of satellite image, it is introduced how to describe and capture texture and structural features of ground objective by the discrete fractional brownian motion model. furthermore, neural networks are used for classification tool of satellite image. in classification spectral feature, texture and structural features of ground objective are used for the category of an irs - 1c satellite image. the category result shows this approach is better than the maximum likelihood classifier

    根據衛星數字圖像特點，引入了分形方法來描述紋理結構特徵，利用離散分形布朗運動dfbm統計模型來抽取衛星圖像紋理結構特徵。在此基礎上，採用神經網路方法將紋理結構特徵與地物光譜特徵相結合，進行衛星圖像分類。試驗結果表明，該分法分類效果優于單純採用光譜特徵分類的最大似然法。
  11. Remote sensing image classification based on neural network

    基於神經網路的遙感圖像分類
  12. An fpga - based real - time color image classification method

    的實時彩色圖像目標分類方法
  13. The details of all stages of the proposed image classification methodology were reviewed including image pre - processing ( e. g. acquisition of ground control points and geo - referencing, radiometric correction, image mosaicking, etc. ), data analysis, image interpretation, classification techniques and presentation of results. it is important to understand that using

    我們對有關的圖像分類方法的各個階段之細節進行了論述，包括圖像預處理（即：採集地面控制點、地理參照系、輻射校正、影像鑲嵌等） 、資料分析、圖像解譯、分類技術和演示結果等。
  14. In last section we propose a new method for image classification and recognition, and the result of experiment shows that the method is effective with classification accuracy of 96. 67 %. the main creative points in this paper are : propose the concepts of dimension - reduction function and embedding function, define the projection index in term of linear operator and prove two relevant theorems ; design a method to estimate the intrinsic dimension ; put forward an classification algorithm based on lle

    本文的主要創新點在於：提出了降維映射和嵌入映射的概念；給出了投影指標的嚴格定義，證明了兩個相關定理；提出了一種用於估計本徵維數的方法並設計了實用演算法；提出了一種基於局部線性重構思想的分類和識別方法。
  15. Design of image classification system based on svm

    的圖像分類系統設計
  16. 7 szummer m, picard r w. indoor - outdoor image classification. ieee int. workshop on content - based access of image and video databases, in conjunction with iccv 98

    這是由於本體的方法可以幫助計算機從多種角度分析多媒體語義信息，並賦予圖像更多的更豐富的語義內容。
  17. Supervised image classification

    受監視的圖象分類
  18. Color image classification using support vector machines

    基於支持向量機的彩色圖像分類
  19. Color image classification using

    基於支持向量機的彩色圖像分類
  20. Content - based natural image classification and retrieval using svm

    用於基於內容的自然圖像分類和檢索
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