center image filter 中文意思是什麼
center image filter
解釋
中心影像鏡-
By making full use of favourable narrow - band tracing filter character of pll and by combining the merits of dds such as super fine frequency resolution 、 high frequency accuracy 、 very fast frequency hoping with it, the pll / pll + dds frequency synthesizer presents wide band high quality source and super small frequency hoping step. while the electronically tuned filter abates the image interference and notably improves the selectivity. the theorem of frequency synthesizer and center - frequency - fixed filter is simply but adequately introduced first in this paper
課題中所採用的pll或dds pll鎖相頻率合成方法充分發揮鎖相環良好的窄帶跟蹤濾波特性，並結合dds的高頻率解析度、高頻率精確度和高速頻率捷變等優點，分別實現了系統所要求的高質量寬帶本振源和小步長頻率捷變；採用電調諧選頻技術，則大大改善了接收機的選擇性和抗干擾能力。 -
Its main steps are : 1 median filter to filter yawp ; 2 edge detecting ; 3 figure thinning ; 4 the calculation of center point and some other parameters, we put forward a new method with which we firstly give a self - adjust liner transform then we use robert edge detecting and we also give an four - adjacent - field method for edge thinning here ; secondly we repeat four steps above and use the center point as focus in the fourth image. after this we track the forecasting center point by kaveman filter and select two blocks for locating. lastly from the fifth photo on we mainly deal with the arithmetic for matching locating and recognition of focus except kaveman filter
然後在第四幅圖像中：重復上述四步，以提取的形心為瞄準點，在選定瞄準點以後，為了在後續圖像中匹配、定位、識別瞄準點，我們使用卡爾曼濾波求取跟蹤預測的形心點並在瞄準點的周圍選取兩個匹配定位塊：從第五幅圖像開始，除了使用卡爾曼濾波求取跟蹤預測形心點以外，主要執行匹配、定位、識別瞄準點的演算法。 -
The possible position of moving target center in the next frame image was predicted by kalman filter, and a search region of target was generated
該方法利用卡爾曼濾波預測目標中心在下一幀圖像中可能出現的位置，以該位置為中心，建立候選的目標搜索區域。 -
The fourth chapter mainly introduces fringe center method of speckle image. a way which can double interference fringe is introduced here, and it can improve the precision of measurement. the principle of the filter in big curve window is described in detail ; it gives a detail description of its steps to realize it
第四章主要介紹了散斑圖像處理的條文中心處理方法? ?條紋倍增的處理方法，它可以使散斑圖像的條紋增加一倍，相對提高了測量的精度，隨后詳細介紹了曲線大窗口濾波的原理以及實現該方法的主要步驟，同時討論了處理過程中的注意事項，並跟其他濾波方式做了比較。 -
We adopt an algorithm based on the structure of adaptive center weighted modified trimmed mean filter to eliminate the mixed noise in the ccd image ; 4. we apply the federated kalman filter to temperature measurement data fusion and improve the temperature measurement precision
由於各種原因，根據ccd圖像得到的r 、 g 、 b值，採用比色法計算出的溫度值誤差較大，為此，本文採用聯合卡爾曼濾波器對其進行融合處理，明顯改善了測量精度。
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