target image 中文意思是什麼
target image
解釋
靶像-
Simulation for target image - point scanning of ir aam seeker
某型紅外空空導彈導引頭目標像點掃描模擬研究 -
Target image motion characteristics study for imaging seeker
目標圖像運動特徵分析 -
First, binary texture matrixes of horizontal and vertical direction were constructed in the template and target image, and then the prime matching result of the two directions was calculated according to the alogical xor logical operation in bytes and the final target correlation credibility was obtained by proportion sum at last
在模板與目標圖像中分別提取水平、垂直方向上的二值化紋理特徵矩陣，然後根據位元組同或邏輯運算分別計算兩個方向上的最佳匹配值，最後，通過加權求和得到最終的目標相關置信度。 -
Applying the presented algorithms, the information of markers in natural background is obtained accurately, and successfully extracted target image property information in experiments
使得將處于自然背景下的標記點信息準確地獲取到，並應用於實驗中的圖像特徵信息提取。 -
The edge detection approach based on cp neural network is valid to overcome the randomness of fragment dispersing and complexity of distribution of perforation holes. applying neural network approach, the influence of the negative factors is reduced in artificial detection and statistics. in this way, the target image was detected exactly and successfully
基於cp神經網路的邊緣檢測方法有效地克服戰斗部破片穿靶試驗中破片飛散的隨機性和破片孔分佈的復雜性，從而減小了人為檢測和統計中諸多不利因素的影響，完成對靶板圖像的準確檢測。 -
The applying of genetic algrithm to target image processing of tv - command - guided missile
遺傳演算法在電視制導導彈目標圖像處理研究中的應用 -
In order to calculate the matching degree of a shape to target image, shape free texture subspace reconstruction error was adopted as matching criterion
為確定形狀對紋理的匹配程度，本文提出了基於形狀無關紋理子空間重構殘差的匹配度評定標準。 -
The primary aim of this paper is that study the objects ’ detection possess random vein and lie to below the cloak - object. selecting ceramic tile image which possess random vein and presence cloak - objects, missile target image and jungle moving target image as study objects. mostly make research on matching algorithm " robustness and under this three strain circumstance matching algorithm " accuracy and it ’ s applicability
本文研究基於先驗知識的模糊遮掩物下的目標檢測問題，以具有隨機紋理且處于遮掩狀態的目標圖像為研究對象，實驗分析採用具有隨機紋理的瓷磚圖像、導彈目標的紅外圖像、叢林中移動目標圖像。 -
The paper, in the way of math morphology, manages to classify the linear elements, the same type but different width in the scanning, and result in the two - valued linear image in the same level. in the fine division of the target image, a way of math morphology based on the double structure of cell stencil is put forward, which prevents the terminals and the acnodes from losing and also reduces effectively time in doing so. as the result of the framework of the fine division, vector method is formed in which its track is monitored by using dynamic change of pace about freeman ' s chain code
本文用數學形態學相關理論方法實現了對掃描圖像中具有同一線型但不同線寬的線狀要素進行分類，在同一層上得到同一線寬的二值線狀要素圖；在對此目標圖像進行細化時，提出了基於雙結構單元模板的數學形態學細化演算法，用該演算法對實際的線狀要素進行細化，避免了端點、孤立點等信息的丟失，且由於是并行處理，有效地提高細化速度；對于細化后的骨架線，提出了基於freeman鏈碼的動態改變步長保持精度跟蹤矢量化方法。 -
To improve the processing performance of real - time multi - target capture, filter in a row, line detector of target image and targer match processing module are proposed and discussed
為提高實時多目標捕獲模塊的實時處理性能，本文提出並深入討論了行內濾波處理、目標線檢測與目標匹配處理的設計方法。 -
Then, a conceptual framework of applying jtf processing engine agr to radar target image is formed, which illustrates the ways to automatically extract physics - based features of both point scatterers and nonpoint - scattering mechanisms from the target image, and to clean isar image by removing the nonpoint - scattering artifacts
建立了對目標isar圖像進行agr處理的系統框架，為利用agr這一時頻分析手段從isar圖像中解構出不同類型的散射中心的特性，提供了系統的理論依據和具體的實現方式。 -
So research in this paper on ommateum contain two points, first researching ommateum like other normal visual system, considering contents including preprocessing of ir images, target image segmentation, feature extraction and target classification ; second researching ommateum ' s special feature
本文就是從這兩點展開討論研究。首先，把復眼作為一般視覺系統看待，從圖像的預處理、圖像的分割、特徵提取以及目標的分類與識別，這一系列的一般視覺處理過程來考慮。 -
For the problem of multi - path effects, firstly the low - angle target tracking model of sea - surface is built up, and the geometric relationship among target, image and radar is analyzed
針對多徑效應的問題，首先建立海面低空目標的跟蹤模型，分析了目標、鏡像和雷達之間幾何關系。 -
In order to enhance the snr, the winner filter and the maximum summation filter were given. after analyzing the characteristic of the target image, the dissertation introduced several primary weak moving target detection algorithms, the algorithms based on direction projection and hough algorithm were selected. then the computer simulations of the hough transformation based on the maximum summation filter were completed
在對現有弱運動目標檢測演算法對比分析的基礎上，選取了基於方向投影的弱運動檢測演算法和基於hough變換的弱運動目標檢測演算法，同時對基於hough變換的弱運動目標檢測演算法進行了模擬實驗，分析了模擬實驗的結果。 -
To subtract the rolled - strips surface defect with drawing auto - adapted form non - parameter gauss background model, we obtain the flaw target array for the first time. the utilization ranked - order mathematics morphological filters suppress the spot, and successfully withdraw the flaw from the target image
本文首次把自適應非參數高斯背景模型及演算法應用於帶鋼表面的缺陷提取，通過數學形態學中的百分態濾波法，最後成功地從目標圖中提取出缺陷。 -
With the digital watermark technology, the embedding of digital watermark usually has influence to the target image quality in varying degrees
摘要在數字水印技術中，將數字水印嵌入到原始圖像的過程，通常會對目標圖像的質量產生不同程度的影響。 -
In this paper we have used the watershed segmentation arithmetic of mathematics morphologic to analyze and mark the sequential and similar gray target image. as a result, resolved the difficult problem that general technology of digital image ca n ' t detect leucocytes " edge of overlapping cells, which has creative meaning in the edge segmentation technology of leucocytes plasm
應用數學形態學流域分割演算法對具有連通或相似灰度的目標圖像進行檢測與標示，解決了一般數字圖像處理技術難以分割具有交疊區域的白細胞圖像的問題，在細胞漿的邊緣分割中具有創新意義。 -
Target image recognition technology based on support vector machine
基於支持向量機的目標圖像識別技術 -
It figures out the target image from scene image effectively, and manage to segment the target obstacle
有效地將目標圖像區域從場景中表示出來，進而達到分割目標障礙物的目的。 -
It figures out the target image from scene image effectively, and realizes segment the target image and detection the frontage obstacle
有效地將目標圖像區域從場景中表示出來，進而達到分割目標圖像、前方障礙物的檢測。
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