rgb model 中文意思是什麼
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Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed
首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。 -
( 2 ) rgb - ss skin detection models, as for the function, is combination of color space and complexion model
（ 2 ） rgb - ss膚色檢測模型，在功能上是色彩空間和膚色模型的結合。 -
According to human vision character rgb color space is converted to hsv color space. instead of the gray information, the hue information is used as the model parameter
首先從人眼視覺特徵出發，將彩色視頻序列從rgb顏色模型轉換到hsv顏色模型，選擇色調屬性作為基本的識別參數，用色調信息取代主動形狀模型中原本使用的灰度信息。 -
In view of the above mentioned problem, the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification. in accordance with the difficulty in medical image analysis ( for example, the background of microimage of section is complicated and is difficult to be segmented. ), the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model
本文針對上述問題，用計算機圖像處理及模式識別等信息技術對顯微細胞圖像的自動分析和分類的方法進行了研究，並針對醫學圖像分析中的難點（例如，顯微切片圖像背景復雜，分割困難） ，提出了基於歸一化彩色空間和rgb ， hsv彩色模型的兩類分割方法：利用模式識別技術中關于特徵向量空間聚類的方法實施真彩色分割。 -
Specifies whether the device supports colored gouraud shading in the rgb color model
指定設備是否支持rgb顏色模型中的彩色gouraud著色。 -
True if the device supports colored gouraud shading in the rgb color model ; otherwise,
如果設備支持rgb顏色模型中的彩色gouraud著色，則為 -
The design of yarn is a rather important tache, it can easy get the yarn ' s math model according to its geometrical structure, the paper has bright forward a quick illumination - rendering method that based on hsl / rgb, the advantage of this rendering method is its speediness compared with the traditional rendering method such as phong - rendering method. random diffuse algorithm can add the effect of 3d of the yarn
根據紗線的結構建立相應的數學模型，本文提出一種基於hsl rgb顏色空間轉換的快速光照繪制方法，該方法與傳統的光照模型如phong光照模型相比可以在很短的時間內對紗線進行光照效果的處理，加上隨機擴散演算法，使得繪制出的紗線更具有真實感。 -
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。 -
Wth the target of measuring the external quality of tobacco leaf the color feature of tobacco leaf is detected, the correlativity of three paraxneters of rgb analyzed, a ng model based on color feature is builded up
煙葉自動分級系統以煙葉外觀質量檢測為目的，對煙葉的顏色特徵進行檢測，分析顏色rgb三分量之間的相關關系，確定以顏色特徵為依據的分級模型。 -
The thesis has implemented adaptive background model to detect moving objects. we propose to operate in the hue - saturation - value ( hsv ) color space, instead of the traditional rgb space, and show that it provides a better use of the color information, and naturally incorporates gray - level only processing. at each instant, the system constructs three gauss distribution for a pixel and maintains an updated background model, and a list of occluding regions that can then be tracked
此外，自適應的背景模板，採用圖像上的每個象素點的h 、 s 、 v的分佈為高斯分佈建立的三維模型，該模型與實際情況比較接近；在背景、前景的判斷上，充分利用了顏色信息；而且在更新演算法上也考慮了學習率的問題。 -
Through the contrast between two algorithms, that one is the color histogram intersection algorithm which is based on the rgb color model and the other is improve matching algorithm based on color sector of the hsv color space, the result indicates that the retrieval efficiency of the later algorithm is better than the first
本文通過與基於rgb顏色空間的顏色直方圖交叉演算法作比較，試驗表明該改進的基於顏色感知特徵的檢索演算法可以達到較好的檢索效果。同時本系統對非等間隔量化演算法和等間隔量化演算法進行測試比較，結果表明前者優於後者。 -
In temporal segmentation a statistical model is used to automatically separate the moving areas from the background in a general video sequence. the spatial segmentation bases on the results of temporal segmentation and using region - growing algorithm in rgb space can locate precise boundary of moving object. lastly, using segment moving object as the initial model, moving object can be tracked by matching an image to a model based on hausdorff distance on a sequence of video, and the model is updated every frame to accommodate for changes in shape
時間分割中採用連續幀間差的統計假設檢驗，確定運動對象的位置，自動地分離出運動區域與背景區域；空間分割中則採用基於顏色的區域增長演算法來精確地提取運動對象的輪廓；最後，將提取到的運動對象作為模板，對后續的視頻序列，用基於hausdorff距離度量匹配，來跟蹤並提取后續幀中運動對象。 -
It discusses the feature of color, color model, image segment principle and method, and then analyzes the demands and characters of robot soccer vision system. an adaptive rgb threshold value color image segment segmentation method based on rgb and hsi model is presented, and it realize a realtime, veracity, adaptability and intelligent chromatic image recognition
討論了顏色特性、顏色模型及彩色圖像分割的基本原理和方法，分析mirosot視覺子系統中實時彩色圖像識別的特點和要求，提出一種結合rgb和hsi模型的自適應rgb閾值的實時彩色圖像分割方法，實現了彩色圖像識別的實時性、準確性、適應性及智能化。 -
4, for the above optimal parameters, a large - scale shaking table model testing of the tmd seismic decrease structure using the el centra earthquake wave and an artificial earthquake wave ( rgb ) simulated by the trigonometric progression method is conducted. the above theories are approved through the analysis of the testing results
4 、針對理論分析提出的tmd裝置參數的優化取值，進行了tmd減震結構模型在elcentro地震波和由三角級數模擬法模擬的人工地震波（ rgb ）作用下的模擬地震振動臺試驗，試驗結果驗證了理論的正確性。
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