suppression of image 中文意思是什麼

suppression of image 解釋
成像抑制
  • suppression : n. 1. 鎮壓，撲滅。2. 抑制；隱匿；含蓄。3. 制止；禁止；刪除；【醫學】閉止；萎縮。
  • of : OF ＝Old French 古法語。
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  1. Based on these algorithms, and consider the property of the arc image, we proposed a new multi - stage algorithm. the proposed algorithm involves the class separability criterion in pattern recognition, and double - threshold method and non - maximum suppression proposed in canny operator. we apply this algorithm to the arc image, and get a better result

    並在這些演算法的基礎上，基於電弧圖像的特點，提出了一種改進的多階段邊緣檢測演算法，這個演算法中應用到模式識別中的類別可分離判據的理論，並使用了canny演算法所中提出的雙閾值法和非極大值抑制方法等等。
  2. 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。
  3. Based on theoretical deductions and data simulations, this dissertation analyzes properties of echo data in time domain, frequency domain and wavelet packet transform ( wpt ) domain. we also analysize properties of complex image data in image domain, image frequency domain and image wavelet packet transform domain. several methods are proposed for jamming suppression in signal domain and image domain respectively

    本文在理論推導、數據模擬的基礎上，分析了原始回波數據在時域、頻域和小波變換域的特徵以及復圖像數據在圖像域、圖像頻域和圖像小波變換域的特徵，提出了幾種行之有效的信號域和圖像域抑制方法。
  4. By analysises on difference between signal and jamming in wavelet packet transform domain, we study methods of narrowband jamming suppression in signal domain based on wpt. considering the real time feature, and by further analysises on difference between signal and jamming in image wavelet packet transform domain, we propose a method of narrowband jamming suppression in image domain based on wpt ( njsidwpt )

    分析了小波包變換域上信號與干擾的差異，在信號域上研究了基於小波包變換的窄帶干擾抑制方法;考慮到方法的實時性，進而分析了圖像小波包變換域上信號與干擾的差異，提出了在圖像域上基於小波包變換窄帶干擾抑制方法（ njsidwpt ） 。
  5. ( 3 ) various digital image - processing techniques for suppression of undesired components and enhancement of quality in numerical reconstruction images are considered, such as hologram contrast - enhancement, hro subtraction, mean value subtraction, frequency domain filtering and spectrum expansion with conjugation symmetry property

    （ 3 ）從理論和實驗兩方面分析了全息圖對比度增強、平均值相減、 hro 、頻譜濾波等數字圖像處理技術，及其在消除全息圖衍射0級和孿生像，提高數值再現像信噪比方面的作用。
  6. Based on the multiplicative speckle model, a new filtering algorithm based on wavelet transform was developed. first, the multiplicative speckle noise was changed by logarithmic transform into additive noise, which simplified the subsequent speckle suppression. the speckle suppression was carried out in the process of wavelet transform of the logarithmic transformed image

    針對斑點噪聲的乘性模型特點，構造了一種基於小波分析的濾波器：對sar圖像進行對數變換，利用小波變換對對數圖像進行濾波處理，再通過指數變換得到去噪圖像。
  7. Supported by the foundation research project of jiangsu province ( the natural science fund no. bk2001047 ) " research on image quantitative evaluation of sar ", we discuss the statistical characters of sar image, speckle suppression and sar image evaluation etc. in the preface to this article, first, the basic purpose and significance of speckle smoothing and quantitative evaluation for sar images are introduced briefly

    本文結合江蘇省基礎研究計劃（自然科學基金no . bk2001047 ） 「合成孔徑雷達（ sar ）圖像定量評估研究」 ，分析研究了sar圖像的統計特性，對sar圖像的斑點噪聲抑制及質量評估等相關問題進行了研究。本文的第一章為緒論，簡要介紹了本文的研究目的及意義，國內外研究進展情況，以及本文主要的工作。
  8. Combined with the the natural science fund of jiangsu province ( n0. bk2001047 ) which name is “ research on sar image evaluation ”, this paper uses above - mentioned methods to sar image processing, proposes new algorithms of speckle suppression and target detection for sar image and researches on abilities of these algorithms

    本文結合江蘇省自然科學基金（ n0 . bk2001047 ） 「合成孔徑雷達（ sar ）圖像定量評估研究」 ，將上述兩種變換應用於sar圖像處理，提出了新的sar圖像相干斑抑制和目標檢測演算法，並對演算法的性能進行了研究。
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