image feature 中文意思是什麼

image feature 解釋
圖像特徵
  • 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...
  • feature : n 1 形狀,外形;特色;(特指)好看的外表;〈pl 〉臉形;五官;面目,容貌,面貌,相貌。2 臉面的一部...
  1. The document image segmentation is very useful for printing, faxing and such data processing. in this paper, an algorithm is developed for segmenting and classifying document image. feature used for classification is based on the histogram distribution pattern of different image classes

    通過對文檔圖像中不同數據類型直方圖差異的研究,首次提出了一種利用小波域子圖像來增強原始文檔圖像,從而對文檔圖像進行有效分割的演算法。
  2. Optical implementation of haar edge wavelet and extraction of image feature

    子波的光學實現及圖像邊特徵提取
  3. Fingerprint image feature extraction mainly extracts the minutiae and their positions

    指紋圖像的特徵提取主要是提取指紋的細節特徵及其位置。
  4. A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given

    使用分形方法提取目標的特徵,在知識指導下,提出了一種基於目標特徵模型的降維的形態學分形維數計算方法,對傳統分形方法進行了改進,從理論上推證了演算法的合理性,並對演算法進行了模擬分析;針對傳統hough變換無法獲得線段端點和長度信息的局限性,提出了一種基於目標特徵先驗知識的hough變換融合策略,通過引入目標先驗知識,可以有效地獲得直線信息;對信息多而復雜的機場目標採用基於知識的目標識別方法,使用置信度模摘要型實現不確定推理,對目標進行識別判斷,將知識貫穿于整個識別過程中,對目標進行了有效地識別。
  5. In this thesis, on the basis of giving a tutorial introduction to this topic, we present new visual mapping models which combine the robot work space with the image feature space tightly and new visual tracking controllers based on artificial neural network

    本文在總結了目前機器人視覺伺服系統發展狀況的基礎上,通過構建新的非線性西安理工大學博士學位論文視覺映射模聽j將圖像特徵空間與機器人運動空間緊密地聯系起來,提出了基少人
  6. Image feature of skull base metastases

    顱底轉移瘤的影像學特徵
  7. Rather, in this paper, two straightforward image projection techniques, termed image principal component analysis ( 1mpca ) and image fisher linear discriminant analysis ( imlda ), are respectively developed to overcome the weakness of the conventional pca and lda as applied in image feature extraction

    在orl標準人臉庫和nust603人臉庫上的試驗結果表明,與通常的主分量分析與線性鑒別分析方法相比,圖像投影鑒別分析與主分量分析技術將特徵抽取的速度提高了一個數量級以上。不僅如此,其識別精度依然高於傳統的eigenfaces與fisherfaces方法。
  8. For the detecting and tracking of objects in a static background, we summarize mature detecting algorithms, compare the adjacent frame difference method with the adaptive background difference one and implement an automatic object detecting and tracking system based on adaptive background difference and kalman filtration. as for image feature extraction, we systematically summarize available extraction methods and present the definition of image feature points

    靜止背景中目標檢測和跟蹤方面,本文在前人大量工作的基礎上,總結了成熟的靜止背景中目標檢測演算法,試驗對比了瞬時差分法和自適應背景相減法,提出並實現了一個基於自適應背景相減法和卡爾曼濾波的自動目標檢測和跟蹤系統。
  9. Pulse coupled neural network ( pcnn ) is a new generation of artificial neural networks and is characterized with adaptive image separation and adaptive image feature extraction

    脈沖耦合神經網路是新一代的人工神經網路,具有優良的自適應圖像分割和自適應圖像特徵提取能力。
  10. Texture is an important image feature that is hard to describe. the analysis methods mostly include statistic method, structure method and frequency method

    紋理是圖像中一個重要而又難于描述的特徵,通常採用統計方法、結構方法以及頻譜方法進行分析。
  11. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題,提出基於小波與神經元模式識別的車牌圖像分割方法; 2 )特徵提取階段:將結構特徵提取方法和統計特徵提取方法的緊密有機結合,提出一種基於小波和矩的車牌圖像字元特徵向量提取方法; 3 )分類識別階段:對智能識別技術進行研究,提出智能識別機的模型結構,對識別機的基本層次結構和設計方法進行初探;並針對多特徵方法進行一定的研究;本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  12. A theory using image local maximum modules, got by wavelet transform, as image feature, is promoted and proved well. finally, using image mosaic technique based on multi - resolution analysis, redundancies between images are eliminated. the whole image produced at last is a much bigger one without seam and distortion

    提出了圖像邊緣局部最大模作為匹配特徵的理論,並取得很好的效果;最終通過多分辨分析圖像融合技術消除圖像間的冗餘,並把它們合成為一幅無接縫、無畸變的、大區域圖像。
  13. In this article, pattern recognition is used as theory foundation and image process technology as basic technology. combining with the new theory tools ( wavelet analysis and neural network ), this paper presents effective resolve methods to three parts of image recognition ( image segmentation, image feature extraction and image classificaton ) thought systemic analysis of it

    文中以模式識別為基本理論平臺,以圖像處理技術為基本手段,結合新興領域的理論工具(小波分析,神經網路等) ,分別對圖像分割,圖像特徵提取,圖像分類識別三個問題作了系統研究,並提出了有效的解決方法。
  14. Correlative therapeutic effect and image feature in the treatment for lumbar intervertebral disc herniation with collagenase chemolysis

    膠原酶溶解術治療腰椎間盤突出癥療效與影像表現的關系
  15. The light spot image thresholding part of the suite puts forward the iterative algorithm to gain the best threshold by comparing, which could perfectly hold the original image feature. in the extracting the light spot image features part, the algorithms on calculating the coordinates of the " energy distribution barycenter " in the 256 gray levels image and the " geometric - center " in the binary image are adopted respectively and so on

    如在對光斑圖像進行二值化的過程中,通過比較發現使用迭代法求出最佳閾值的演算法能夠較好的保留原圖像的特徵。在對光斑圖像進行特徵提取的過程中,分別採用了對256級灰度的光斑圖像求其「能量分佈的重心」坐標;對光斑的二值化圖像求其「形心」坐標等演算法。
  16. However the damages of image feature - edge, line and wave caused by the hessian method is significantly less

    應用hessain方法提取圖像特徵方向,減小了圖像平滑結果對邊、線、波等特徵的損害。
  17. 3 ) evolves perona - malik equation to the form of weighted smoothing in two orthogonal directions. brings hessian method, which is an approach to extract the image feature direction, into the technology of smoothing image

    3 )推導perona ? malik方程為在相互垂直方向不同程度平滑的形式,將提木于柿微分方程的圖街個滑技術及其應用研穴摘要取圖像特徵方向的hessain方法應用到圖像平滑技術中。
  18. Recognition of image feature based on geometry invariants

    基於幾何不變量的圖像特徵識別
  19. Image feature selection based on support vector machine

    基於支持向量機的圖像特徵選擇研究
  20. Not only does this method take gray information into account but it also make use of image feature. compared with conventional methods, this method gains a better accuracy, efficiency and reliability

    這種方法不僅考慮灰度信息而且顧及影像特徵,利用該方法匹配的結果在精度、速度、可靠性方面比傳統方法有明顯的提高。
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