均等色度圖 的英文怎麼說

中文拼音 [jūnděngshǎidùtú]
均等色度圖 英文
uniform chromaticity scale diagram
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 等 : Ⅰ量詞1 （等級） class; grade; rank 2 （種; 類） kind; sort; type Ⅱ形容詞（程度或數量上相同） equa...
  • 色 : 色名詞[口語] （顏色） colour
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 均等 : 1. （平均; 相等） equal; impartial; fair 2. [植物學] equalling; parity
  • 色度 : tone; chroma; chrominance; tinct; chromaticness; chromaticity; colourity色度測量 colour measureme...
  1. Above all, the system has some advantages such as high compute precision, high speed and suited for large structure analysis. during the process of the system researching, a new mesh approach based on advancing front technique for triangle elements was studied. a practical method of generating hexahedron mesh for cellular element method through transfering lines into volumes was worked out

    在軟體研製過程中，提出一種基於前沿生成法的速度快、穩定性好的平面元胞元網格自動生成方法和三維六面體網格的線段轉換法;根據元胞元模型的特點，提出一種穩健性較好的三維元胞元模型消隱方法;通過對應力圖生成技術的研究，提出一種對等值線、色帶圖、濃淡圖均適用的應力圖快速生成演算法。
  2. In the process of gathering image, it must produce noise, otherwise, we focus on the image character that we are interested in when we do it ; so we should use the technology of histogram equalization of image, windows conversion, removing noise by smoothness and filtering to enhance the image

    將人工檢測得到的圖像進行圖像預處理，將32位真彩色圖像轉化成灰度圖像。降低了數據童，加快了圖像處理速度。應用圖像的直方圖均衡、窗口變換、平滑去噪、濾波等處理技術對圖像進行去噪和增強，得到本研究所需要的圖像特徵。
  3. Firstly, analyzed the present problems of fed display quality such as luminance non - uniformity, grayscale loss and high power consumption on fed driving system. secondly, proposed new methods and thinking from circuit aspect for improving display quality of fed according to the matured digital image processing and fpga technologies. and such methods have been applied to the low work function printable 25 inch color vga fed. lastly, analyzed and evaluated the image quality of fed processed

    首先，針對fed顯示器現存的亮度不均勻、灰度失真等質量缺陷和fed驅動系統功耗較高的問題進行了分析討論和歸納總結;其次，根據成熟的數字圖像處理方法和fpga技術，結合fed顯示屏的自身特性，提出通過電路設計來改善、提高fed圖像顯示質量的新方法與新思路;然後將其應用於低逸出功印刷型25英寸vga級彩色fed驅動系統中;最後，對經過圖像處理的fed演示樣機的圖像質量進行了分析與評價。
  4. It includes the following aspects : adopting the partial differential equations and neighborhood average smoothing methods to reduce image noises. mapping the rgb three - color and gray scale histogram to study - 3 - the relationship of flame features and temperature field distribution. the methods of calculate important parameters about the average gray value, the flame area and the flame shape center coordinate are given

    採用圖象相加、偏微分、鄰域平均等方法來消除圖象噪聲；繪制圖象的r 、 g 、 b三色直方圖來研究火焰幅度特徵分佈與溫度分佈的關系；給出計算平均灰度、火焰面積大小、火焰形心坐標等重要參數的方法；用彩色等溫區或等溫線重構溫度場分佈。
  5. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  6. 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。
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