殘圖像 的英文怎麼說
中文拼音 [cántúxiàng]
殘圖像
英文
retained image-
The new underwater footage from the first manned submarine mission to the wreck ， reveals the great ship ' s turrets, the swastika - adorned stern and the jackboots of nazi soldiers also lying 16, 000 feet below the ocean surface
這次是科學家們首次派出有人駕駛潛艇前往該殘骸，拍到的水下圖像包括「卑斯麥」號上的炮塔、帶納粹反「萬」字標記的船尾和普通艦員們的靴子。Finally, the error images of mp are coded by spiht ( set partitioning in hierarchical trees ) to get the final codestream. in order to testify the effectiveness of the proposed algorithm, aviris images are used for computer simulation and the results indicate the proposed
最後，對經過mp演算法處理后的殘差圖像利用spiht （ setpartitioninginhierarchicaltrees ）演算法進行編碼，從而完成了對高光譜圖像的壓縮。During the 29th olympic games and 13th paralympic games, getty image will send a team of professional and experienced photographers, editors and related staff to serve completely for the events
在第29屆奧運會和第13屆殘奧會期間，蓋帝圖像將派出一支蜚聲國際的攝影師、編輯和相關人員組成的團隊，為本屆奧運會提供全方位的圖片報道。( 2 ) after statistical experiment on color indexes of weed images which were acquired in various illumination intensity, soil humidity and remains coverage, it pointed out that hue and relative color index are insensitive to illumination intensity, soil humidity, remains coverage and shadow, hue and excess green have a distinct contrast between plant and non - plant, but can not be used to identify corn and seed
（ 2 ）利用自行開發的aoi （感興趣區域）工具，通過對不同土壤濕度、光照強度和殘茬覆蓋率下的雜草圖像進行顏色指數測定與分析，指出色度及過綠特徵對光照強度、土壤濕度、殘茬覆蓋率、植物陰影的影響不敏感，且在植物與非植物之間存在足夠的對比度，但不能用於玉米與雜草，或闊葉雜草與窄葉雜草的識別。A team of international researchers announced last month that they had filmed the sunken remains of the battleship bismarck, pride of the nazi fleet, some 380 miles southwest of ireland
一個由多國科學家組成的研究小隊上個月宣稱他們拍到了夕日納粹海軍引以為豪的「卑斯麥」號戰列艦沉船殘骸的圖像。On the basis of formation and operation principles of the bar code identification system, the author has studied the moment - invariants theory of pattern recognition, and combined the other image processing techniques, then developed a bar code identification system which can recognize not only the lightly contaminated and incomplete bar code but also the distorted bar code with arbitrarily angle. using the idea of the layers, the author has consteructed a kind of two dimension barcode, and developed the identification system for it
在簡介條碼識別系統的組成及工作原理的基礎上，作者針對條碼圖像攝入過程中可能遇到的種種情況，以矩不變為特徵的模式識別理論為依據，結合矩陣分割和其他數字圖像處理技術，開發出不僅能對輕度污染與殘缺的條碼進行識讀，而且能對任意角度有畸變的條碼圖像進行快速識別的一維條碼譯碼系統。Close your eyes and concentrate on the after image this will generate behind your closed eyelids
閉上眼睛，並集中注意力於你閉上眼皮后殘留的圖像。Each band of hyperspectral image has the same physical structure, so we classification the first band, and design an optimal linear predictor for each class to make the mean prediction square error minimal, and then we use jpeg - ls algorithm to remove the spatial redundancy
由於高光譜圖像每個波段都具有相同的物理結構，先對首幅圖像進行分類，在每個子類中分別使用各自的最佳線性預測器，將該類中的相鄰譜段進行預測並將預測殘差均方降為最小，然後用jpeg - ls演算法去除殘差圖像的相關性。Secondly, hyperspectral images are hard to compress because of their abundant details, complicated texture and insignificant special correlation. making use of the significant spectral correlation within the hyperspectral images, we propose an optimal linear predictor which makes the square error minimal
針對高光譜遙感圖像細節豐富紋理復雜，空間相關性弱，難于壓縮的特點，本文充分利用了高光譜遙感圖像的譜間相關性，設計出對相鄰譜段進行預測並將預測殘差均方降為最小的一種最佳線性預測器。Patterns of the dye ' s residues in the brain were later converted into images
殘留在腦里的染劑樣子隨后轉換為圖像。Second, a novel algorithm named model predicition ( mp ) is proposed to wipe off spectral correlations of hyperspectral images. mp algorithm finds the linear model of hyperspectral images, in which predictive coefficients are set up that is based on snr. because predictive coefficients include current spectral band, average entropy of the error data is decreased and snr is increased after mp
Mp演算法建立了高光譜圖像的線性模型，推導出了信噪比意義下的最佳預測系數，由於系數中包含了當前譜帶的數據，因此經過mp演算法去相關之後，殘差圖像的平均熵有所降低，同時信噪比提高很多。It consists of piles of rubble, corrugated iron and random belongings - a basin, a single shoe, a coathanger - like the detritus left in the wake of an earthquake or a storm
這個象徵的圖像由成堆的破磚殘瓦、和一些私人物品組成?有臉盆、落單的破鞋、空空的衣架?像是大地震或是大風暴后留下的遺跡。An error detecting method which can prevent the decoding error affecting the next video packet head is used, and a restoration measure for b frame based on the mv prediction which can improve the visual quality has been studied. 3. a novel marking algorithm for ip diffserv based on the transmission condition and the different importance of video streams for decoder has been introduced
2實現了mpeg - 4的差錯檢測、可逆變長解碼rvld和差錯掩蓋方法:對i或p幀紋理區的差錯先用rvld進行解碼，然後對殘留的差錯用空間插值或運動補償方法進行掩蓋，而對p幀的運動矢量mv ，利用圖像的空間平滑特性進行恢復; 3針對b幀差錯的復原，我們還提出了一種基於運動估計的方法。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。Motion compensated prediction error image has significant amplitudes mainly along the boundaries of moving objects, correspondingly its wavelet coefficients contain large energy in high frequency bands. this greatly reduces the coding efficiency of ezw. it is first provided that the correspondence between the significant amplitudes area of the mcp error image and the wavelet coefficient significant map, then encode the significant map efficiently using quadtree approach, followed by bit - plane coding the significant coefficients to produce an embedded data stream. experiment result shows that compared to ezw and zte, the proposed algorithm is more efficient and has better performance
演算法對于運動補償余量誤差幀首先進行小波變換，並選取適當的閾值，用重要圖表示大於該閾值的重要系數。根據殘差幀小波系數的統計特性，用四叉樹方法編碼重要圖，並對重要系數作位面編碼，生成嵌入式碼流。實驗表明，與ezw ， zte等演算法相比較，該演算法編碼效率高，復現圖像質量好。A method of super - resolution imaging on ultra wideband isar
復圖像配準及利用殘差點進行質量評估Talent show provide a platform for the disabled or ngos to demonstrate their talents, arts presentation
-提供一個多媒體平臺透過聲音，圖像或錄像讓殘障人士及復康In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing
為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。To study crash tests, vw superimposes an image of an intact car over the wreckage of a crashed vehicle
為了研究沖撞試驗，大眾汽車把一輛完整無缺的汽車圖像疊印於一輛被撞毀的汽車殘骸上。What ’ s more, we design a 3d prediction compression scheme. the scheme is based on our optimal linear predictor and we use jpeg - ls lossless compression algorithm to compress the residual images. the scheme costs less time in computing, but works much better than jpeg - ls algorithm and software winrar
此外，用基於jpeg - ls的無損壓縮演算法對運用我們設計出的最佳線性預測器預測得到的殘差圖像進行壓縮，運算速度很快，壓縮比也大大優于jpeg - ls演算法和winrar壓縮軟體，具有很強的實用性。分享友人