弱鄰域 的英文怎麼說
中文拼音 [ruòlīnyù]
弱鄰域
英文
weak neighborhood-
Fairly important covers have point - countable bases, weakly bases, k - networks, sequence - neighbourhood networks and so on. fairly important mappings have quotient s - mappings, closed s - mappings, open mappings, open - and - closed mappings, com - pact - and - open mappings, perfect mappings, countable bi - quotient mappings, compact mappings
比較重要的覆蓋有點可數基，弱基， k網，序列鄰域網；比較重要的映射有商s映射，閉s映射，開映射，開閉映射，緊開映射，完備映射，可數雙商映射，緊映射。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。Edge detection and contour tracking are very important in computer vision. because the single pixel edges are needed in computer vision, an algorithm of edge detection and contour tracking is proposed using the good local character and multi - scale character of wavelet transform in the dissertation. the fuzzy algorithm is applied to pick the model maximum points, so that the single pixel edge can be obtained
邊緣檢測和輪廓跟蹤在計算機視覺中有著重要的地位，利用小波變換良好的時頻域局部化特性和多尺度特性，針對計算機視覺中需要提取單像素的點線等邊緣的需求，本文提出了一種基於小波變換的邊緣檢測和輪廓跟蹤演算法，通過真正的邊緣點是模的局部極值點這一特點，應用模糊演算法對模極大值點進一步篩選得到單像素級的邊緣，並在邊緣跟蹤時，有效利用原圖像的信息，通過在小鄰域內尋找局部峰值對丟失弱邊緣進行了補償。Secondly, a new method of dim target detection and tracking based the feature of target area is proposed
其次，本文利用目標鄰域的特徵，提出了基於鄰域特徵的弱小目標檢測和跟蹤方法。分享友人