rgb color model 中文意思是什麼
rgb color model
解釋
rgb 色彩空間-
( 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。 -
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 -
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。 -
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。
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