紋理判別 的英文怎麼說

中文拼音 [wénlǐpànbié]
紋理判別 英文
texture discrimination
  • 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...
  • 判 : Ⅰ動詞1 （分開; 分辨） distinguish; discriminate 2 （評定） judge; decide 3 （判決） sentence; con...
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 紋理 : vein; lines; stripes; grain; graining; varvity; texture紋理方向 grain direction
  • 判別 : differentiate; distinguish; discriminate
  1. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  2. Computer image processing technology analysising the wear surface character had developed rapidly, and got widely recognition and application. according to the wear - surface image obtained by digital image - collection system, i analyse the wear mechanism, then, construe wear shape character with edge detection and skeleton map technology, calculate the proportion of different wear mechanism to the whole mechanism with area measurement, judge the texture character of image based on the method of texture analysis so as to provide reference for the computer ' s intelligentize identity to wear methanism

    本文根據數字圖像採集系統獲得的磨損表面圖像，進行磨損機制分析，並運用數字圖像處理技術中的邊緣檢測和輪廓提取等技術，對磨損形狀進行特徵提取和分析，運用面積測量可計算不同磨損機制在整個磨損主體所佔的比重，並根據紋理特徵分析方法判斷圖像的紋理特徵，為實現計算機對磨損機制的智能化識別提供參考。
  3. Expoles an algorithm about bearing surface defects detection by support vector machines that is the new branch of machine learning, in which the defective area and non - defective area are treated as two different textures and are sampled respectively to be learned, in order to reduce dimension, the image data can be processed by pca

    摘要提出一種基於支持向量機的軸承表面缺陷檢測演算法，該演算法把軸承中的非缺陷區域和缺陷區域分別看作兩種不同的紋理模式，利用主成分分析法（ pca ）對圖像進行降維處理，然後用支持向量機方法對兩類不同的樣本采樣學習，進行分類判斷。
  4. Two parameter estimation methods of the texture model based on the gibbs distribution and neighbor pixels are adopted to extract the features of workpiece surface texture. tool wear condition is recognized by the feature parameters of texture

    提出了基於gibbs分佈和基於近鄰像元的兩種紋理模型參數估計方法以提取工件表面紋理特徵，並利用紋理特徵參數對刀具的磨損浙江大學博士學位論文狀態進行判別。
  5. The three steps included in the algorithm are license plate segmentation, which consists of rough segmentation and accurate segmentation, character segmentation and character recognition. the rough segmentation transforms the original image into a texture image, and locates the plate - like areas through the intensity of textures in these areas, and thus finds out the only true plate area according to their gray vertical projection

    對車牌定位，論文研究了紋理分析和灰度垂直投影相結合的粗定位演算法，先把圖像轉換成紋理圖，利用車牌區域紋理豐富的特點找到各個類似車牌的區域，然後對這些車牌候選區域採取垂直方向的灰度投影來判別真偽車牌，獲得唯一的車牌區域。
  6. Gis can provide a large amount of prior knowledge about the landscape scenes, including the positions of the objects, the geometric properties, the spectral feature, the textural feature, the altitude, the information about the objects " distribution, etc. these kinds of information can help us to interpret the remote sensing image based on multiple rules, so that the interpretation can be automatic and the precision can be improved

    Gis提供了遙感圖像所描述的地理區域的大量先驗知識，包括地理目標的空間位置、幾何形狀、光譜圖像的紋理特徵、高程信息、周邊環境、地物分佈規律等，這些輔助信息使得可以採用多種判別手段、判別依據對遙感圖像分類識別，從而提高遙感圖像的分類精度和自動化程度。
  7. The main contents of the thesis are shown as follows : presenting fundamental theories of statistic pattern recognition, discussing rgb ( red, green, blue ) color space, ohta color space, hsi ( hue, saturation, intensity ) color space and its converted color space, materials consistency in gray scale and the application in removing foreign bodies in tobacco flows, hence presenting recognition pattern based on " unit recognition ", designing sample machine for this purpose, which consists of material - providing system, optic system, image - grabbing system, real - time intelligent image - processing system and systems of automatically rejecting foreign bodies and self - diagnosis, analyzing and optimizing hard wares, offering concrete designs such as optic system and air - ejector driver circuit, presenting and realizing physical ram

    本文的主要內容有：統計模式識別基礎理論及它們在煙草異物識別中的應用；討論了rgb （ red 、 green 、 blue ）基礎顏色空間、 ohta顏色空間、 hsi （ hue色調， saturation飽和度， intensity亮度）顏色空間及其變換空間、物料圖像紋理、灰度均勻性等在煙草異物識別中的應用，並在此基礎上提出了"基於判別單元顏色統計特性"的煙草在線異物識別模型，設計並研製了煙草在線異物實時識別與自動剔除系統原理樣機，它由供料系統、光學系統、圖像數據採集系統、實時智能圖像處理系統、異物自動剔除系統以及自診斷系統等組成。
  8. The proposed method compresses images based on sub - band coding, and then exacts compressed images features such as color, texture and shape

    本系統直接對小波壓縮圖像進行分析，提取壓縮域低頻圖像的顏色、紋理、形狀特徵，然後通過判別函數判別圖像的相似性。
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