matched image 中文意思是什麼
matched image
解釋
匹配圖像-
Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction
文中提出了採用灰度數學形態學中的top - hat變換和高斯匹配濾波相結合的方法，用來有效的降低視網膜熒光圖像中固有的小窩現象及眼底照相機的口徑所引起的視網膜圖像邊界像素噪聲，極大的提高了圖像分割及特徵提取的精度。 -
Because the relative changing will result in the reducing of the accuracy of the determining the failure circuit region and the validity of the entire test system diagnosis result, their infrared thermal image must be matched
熱像圖位置的相對改變會導致電路故障區域判定的準確性和整個診斷系統診斷結果的有效性的降低，因此必須對熱像圖進行匹配。 -
Realtime video image from vidicon on uav may be matched to digital map stored by image registration technique, which can more precisely orientate object and has higher reliability
採用圖像匹配技術可以將機載攝像機實時獲取的地面圖像與預存的數字地圖進行匹配，從而能夠更為精確的確定目標位置，具有較高定位可靠性。 -
According to the actual work environment and the request of technique index, the laser collimation matched digital image processing technique are adopted to realize the measurement of multi - barrel parallelism in this system project. in order to validate the feasibility of this project, this paper contrives a few principles experiments and gives forth an algorithm suite
根據實際工作環境和技術指標的要求，本系統採用了以激光準直技術配合數字圖像處理技術未實現多管平行性測量的方案。本文為了驗證該方案的可行性，設計了幾個原理實驗，並提出了一套演算法。 -
The flow of computer program is as follows : first, characters area will be located in the picture which contains the container and be segmented from it ; second, after some operations such as image processing, binarization and character segment, the character image will be matched with the template which has been built in the system, then the character can be recognized according to the similitude ; last, we can access database of container information according its character
工作流程是根據現場採集到的包含集裝箱編號的圖像，將編號區域檢測並分割出來，經過圖像增強、圖像二值化、字元分割等操作，將字元圖像與系統中內建的字元模板進行匹配，根據計算得到的相似度實現對字元的識別，然後將識別結果與報關單中的集裝箱編號進行核對，並連接數據庫，檢索該集裝箱相關信息，完成相應的數據庫操作。 -
In the algorithm, we look the image - matching problem as a kind of optimization problem that finds a most suitable matching point in matched image. then we use the strong global optimization capability of evolutionary computation to solve the complicated matching problem
該演算法將圖像匹配問題看作為尋求最優匹配點的尋優問題，然後利用進化演算法的強大的全局尋優性能來對圖像進行匹配。 -
Secondly, a algorithm of image registration based nprod ( normalized product ) and gauss - pyramid decomposition is presented, which based on the hypothesis that there is aimier geometric transform among images to be matched, and the a igorithm is proved to be precise and effective in mul - modal image registration, but it ' s count is great
論文的第二部分介紹了圖像匹配技術的基本原理和常用方法，在此基礎上提出了基於歸一化積相關和高斯塔形分解的配準演算法。該演算法假定待配準的圖像對之間存在埃米爾特變換，能夠實現多模態圖像間的精確配準，但是計算量較大。 -
An attention - based image recognition model is proposed. when analyze complex visual field or pattern, visual attention mechanism is used to detect saliency features in the image and drive the fixation point to scan the saliency features sequentially. during each fixation, the local pattern at the fixation point is memorized or matched. there are two parts in the memory of a complex pattern, the memory of local patterns that constitute the complex pattern and the memory of space relations between local patterns. corresponding to memory process, the recognition process also contains two parts, the matching of local patterns and the matching of space relations between local patterns. an object is recognized only when there are enough numbers of local patterns is matched and the space relations between these local patterns are correct
在掃描到每一個關鍵特徵區時，將對該區域附近的局部模式進行記憶或匹配。對一個復雜目標的記憶將包括2部分，一部分是對局部模式的記憶，即組成該目標的各「部件」的模式另一部分是對各局部模式之間的空間關系的記憶，即組成該目標的各「部件」之間的結構關系。與記憶過程對應，識別過程也包括2部分，一部分是對局部模式的匹配，另一部分是對各局部模式之間結構關系的匹配。 -
In light of the optic character recognition principle and after the dominant feature matching, the images are matched to the module images. the image being static, the technique of the system is n ' t real - time
根據交通標識牌的實際情況和本課題的要求，我們按照光學字元識別的原理，通過分類匹配，對圖象進行了匹配。 -
The method we designed first selects local area with typical object and extracts edge information from these object, then feature points is matched using a criterion combined with edge shape and gray - level information. in such steps, we obtain robust and steady control point using for image registration
本文描述的方法通過選取圖像中的典型區域，利用地物特點提取邊緣特徵，並利用邊緣形狀信息和局部灰度統計信息結合作為特徵點提取及同名點匹配的判別準則，可得到符合地物性質及直觀認識的匹配特徵點。 -
Finally, in the feature matching stage, with the variance reciprocal used as the weighting coefficients, the features from each parts of the iris image ( the first iris image division ) are matched separately and then 3 matching results are got
最後，在匹配識別演算法中，本文對歸一化處理中第一次圖像分割后的3部分區域分別採用方差倒數加權求和的匹配演算法進行識別判決，得到3個識別結果。再用不同的可信度系數來加權這3個識別結果，得到最終的識別結果。 -
Second, the edge points on the scan - lines of the first prewarped image are detected and the corresponding points on the same scan - lines of the other prewarped image are matched. third, with these corresponding edge points, the scan - lines of the two images are segmented. in the end, more exact corresponding relation of these points are obtained under the use of the affine transformation and the auto - corresponding of the images are finished
該演算法首先矯正源視圖，使矯正後圖像滿足視點平移關系；然後檢測第一幅圖像掃描線上的邊緣點，再由這些邊緣點匹配出第二幅圖像上對應的邊緣點，利用這些對應的邊緣點再分割兩幅圖像中所對應的掃描線；最後用仿射變換建立較為準確的點與點的對應關系，完成圖像的自動匹配。 -
Then by using enlarged edge character method, outline distortion can be overcomed and correct image can be matched
在此基礎上，用擴展邊緣特徵法，克服輪廓變形對邊緣匹配的影響，提高精度。 -
At first, it analyses the image content and acquire the attention objects. then, images are matched and indexing is performed based on the features of those extracted attention objects
它首先對圖象進行分析，提取出其中用戶感興趣的物體，再利用感興趣物體的顏色和紋理特徵來表徵圖象的特徵，進行圖象匹配和相似性度量計算。 -
But when there are several kinds of difference between the matching image model and the matched image, such as in lightness, zoom or in angle, the traditional matching algorithms would not be able to obtain satisfying matching results
但當匹配模板與待匹配圖像之間存在亮度、縮放及角度旋轉等差異時，利用傳統的匹配演算法所得到的匹配結果不盡如人意。 -
The results of the experiments show that, when there are different kinds of differences in lightness, zoom and angle between matching model and matched image, this kind of optimization algorithm based on evolutionary computation can solve the problem effectively
實驗結果證明，當待匹配圖像和匹配模板之間存在亮度、大小縮放和旋轉角度差異的情況下，這種基於進化計算的圖像匹配演算法能夠進行正確匹配。 -
Then it should be worked out image simulation based on coons fractal patches and the characteristic blocks - based fractal image compression. in the later, the regional shape of partitioned image is encoded and then matched with other similar part of the image, which is the same as the original region in size and shape
利用特徵塊對圖象進行分割，對分割后的圖象，一方面用coons型分形曲面片拼接進行模擬，另一方面，對區域進行形狀編碼和分形相似性匹配，以對圖象進行壓縮編碼。
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