消色閾 的英文怎麼說
中文拼音 [xiāoshǎiyù]
消色閾
英文
killer threshold-
We use a colorful noise to describe traffic flow and regard it as the uncontrolled input ( equaled to noise ). then we use the multi - rate sampling pi controller to eliminate the error caused by noise, and make the length of queue stabilize at the threshold. the availability of the strategies and stability of systems are proved by doing some analysis and simulation
文中我們將一有色噪聲看作不可控輸入的擾動，採用基於pi的多采樣速率控制器以消除由此不可控輸入所造成的對系統輸出（交換節點緩沖區隊列長度）誤差的影響，使得系統輸出（隊列長度）穩定在閾值附近。A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. after threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. at last, shadows are detected using hsv color space information and gets exact moving regions
該方法首先利用統計的方法得到背景模型，並實時地對背景模型進行更新，以適應外界光線變化和場景本身的變化，閾值操作后，用形態學和連通域檢測的方法進行后處理，消除噪聲和背景擾動帶來的影響，最後，在hsv顏色空間下檢測出陰影，得到準確的運動對象區域。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。Segmentation of chromosome : the chromosome image is segmented by the method of boundary gray level threshold and entropy algorithm based on genetic algorithm, then, after boundary smoothing and edge tracing, the chromosome position information is acquired. 2. diagnostic extraction of chromosome : on the basis of skeleton pixel after thinning, the medial axes are obtained by the orthogonal approximation
主要研究內容如下: 1 、染色體圖像分割:採用基於邊界灰度的門限演算法和基於遺傳演算法的熵演算法來尋找染色體圖像二值化需要的分割閾值，對分割后的圖像存在的噪聲分別採用內插來置換和邊界跟蹤來消除; 2 、染色體特徵提取:採用細化技術將染色體細化一些離散的骨架點，用插值方法獲得平滑的曲線染色體中線。分享友人