vision filter 中文意思是什麼
vision filter
解釋
可見濾光片-
Based on computer vision theory and technology, extracting the lane edges by means of gabor wavelet filter ' s direction character and theory of statistics
利用計算機視覺理論和技術，引入了基於gabor小波濾波器的方向特徵和統計原理來進行道路檢測。 -
This thesis presents an odometry model for 4 - wheel omnidirectional mobile robots and proposes a method to achieve holonomic description of robot ’ s kinematic characteristics based on two dual - axis accelerations. with combinated data from encoder 、 acceleration 、 compass and pose from an omni - directional vision system, a kalman filter is designed to fuse data for robot ’ s self - localization. results of experiments concludes the achievement of this thesis
通過分析本文選用的幾種傳感器和視覺在機器人定位應用中的特點，對基於kalman濾波的融合方法在機器人定位中的應用進行了討論，建立了機器人加速度模型，並對其線性化，基於傳感器測量和預處理結果，建立了系統觀測模型。 -
In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。 -
It begins form the discussion the knowledge of the gaussian filter and the laplacian operator, which are the base of the marr method. and it is followed by the detail discussion of such as : the 2g （ laplacian of gaussian ) filter, the template log ( laplacian of gaussian ), the meaning of laplacian of gaussian in human vision, edge detection and neurophysiology. with different template to different size of target, the small target can be separated from the background by this small infrared target detection method
從marr演算法的理論基礎? ?高斯平滑濾波器與拉普拉斯運算元的相關知識以及Ｍ ａ ｒ ｒ的計算視覺理論基礎開始，進行了2g （ laplacianofgaussian ，高斯?拉普拉斯）濾波器、 log （ laplacianofgaussian ，高斯?拉普拉斯）模板以及2g濾波器在人類視覺、邊緣檢測、邊緣處理的物理意義以及神經生理學意義方面的分析討論，提出了易於fpga （ fieldprogrammablegatearray ，現場可編程門陣列）實現的基於marr計算視覺的紅外圖像小目標檢測方法。
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