searching image 中文意思是什麼
searching image
解釋
探索像-
In course of auto - focusing, the paper takes the sum of the square of gray difference as focal distance evaluation function to decided that image is in focus or not quickly and put forward an effective auto - focus searching way based on threshold value and curve fitting. these improve speed and precision of auto - focusing
在自動聚焦過程中，論文採用了圖象的灰度差分的絕對值之和的平方作為焦距評價函數，解決了是否正確聚焦的快速判斷問題；採用了一種行之有效的基於閾值和曲線擬合的自動聚焦搜索方式，使聚焦速度和精度都得到了很大的提高。 -
The computer acquires the image of dial gauge by high precision ccd video, after that the computer will process the dial gauge image by some image - processing algorithms such as image segmentations, edge searching, area segmentations and locating the pointer by the " circle ". at last the computer will recognise the dial pointer position and work out the precision of dial gauge in accordance with nation criterion of dial gauge. this study presents several optimum algorithms to realize quick recognition of the pointer and calibration lines of detected dial and improve the accuracy and real time quality of detecting
本系統由計算機控制步進電動機的運動，進而驅動指示表表針的運動，通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括閾值分割、邊緣檢測、圖像銳化以及區域分割和定心圓檢測等，最終快速識別出表盤指針所處位置，最後根據國家指示表類檢定規程所制定的演算法檢定出指示表的各種精度，本系統所採用的圖像處理演算法運算量少，速度快，從而大大提高了系統的實時性。 -
It has designed a special method for finding circular center image coordinates and a subpixel digital image process method, so that the precision of simulation for searching image point of circular center can reach to 0. 01 pixel in grade of amount. it has designed amending method for errors, produced by improper installation position of the testing device
在圖像處理方面，本文設計了標志特徵圓圓心位置的特殊方法和亞像素數字圖像處理方法，使得特徵圓圓心像點的模擬定位精度可達0 . 01個像素的數量級;提出了一整套圍繞特徵直徑像的特性來尋找其端點坐標的方法。 -
The root - searching novels : the huge image of elite culture
精英文化的巨型想象 -
Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm
遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。 -
Powell algorithm which does not compute gradients and brent algorithm were used to search the optimal rotation and translation parameters, while multi - resolution searching strategy leads to a fast image registration
在尋找最優的旋轉和平移參數時，採用了無需計算梯度的powell直接搜索演算法和brent演算法，並通過多分辨的方式加快圖象配準速度。 -
Based on the characteristic of image data, a quick index technology of large numbers of data is presented. it classifies and assembles the similar images by particular arithmetic, so reduce the range when searching, therefore you can find the object images quickly and exactly
由圖像數據特點，提出一種大容量圖像數據的快速索引技術，其基本思想是把相似的圖像通過特定的演算法聚合在一起，從而大大地縮小圖像搜索的范圍，達到快速、準確檢索到目標圖像的目的。 -
Based on analysis and comparison of the existed biochip image segmentation methods, the adaptive circle segmentation algorithm combined with the neighborhood searching algorithm is realized to biochip image segmentation
在分析並比較了現有生物晶元圖象分割方法的基礎上，採用自適應圓形分割法，結合鄰域搜索演算法，實現了對生物晶元圖象的分割。 -
( 3 ) the algorithm for searching the similar region of two fish eye image taken along inverse direction
（ 3 ）對兩幅沿相反方向拍攝的魚眼圖像的相似區域進行查找的演算法。 -
Using comptlter as the tool, referencing geographic information system ( gis ), based on the data of l / 200, 000 geochemical exploration and remote sensing, this dissertation researches in the data image processing methods, and accomplishes automatic searching and locating abnormity of geochemical exploration, providing basis of series minerals prediction. with processing of the remote sensing images, structural lines are picked, and the mineralization conditions are determined
本文以計算機為工具，參考地理信息系統（ gis ） ，以1 20萬化探數據和遙感資料為基礎，研究出化探數據的圖像處理方法，最終實現化探異常自動搜索定位，提供系列礦產預測依據，結合遙感影像的圖像處理，提取構造線，確定研究區的成礦條件。 -
We divide the fire sample image into several levels vertically and the synthesis process is carried out by searching candidates on the corresponding levels. textures on the central and boundary parts are synthesized separately, and natural transition between them is achieved by use of markov probability interpolation
火焰邊緣附近的紋理單獨進行合成，把紋理樣本邊緣部分的紋理繪制到目標火焰邊緣，火焰中間部位紋理和邊緣紋理則採用馬爾科夫概率插值進行過渡。 -
We design an algorithm for searching the similar region by scanning the extreme value of minus image, which cost less in computation amount and can satisfy the requirement of application in precision
我們給出了一種通過查找差值圖像的極值點來搜索相似區域的方法。該方法計算量較小，而且精度也能達到應用的要求。 -
The method reduces the data to search via decomposing the image to several effectual subimages by the wavelet, then reduces the searching space through multi - resolution analysis, and refine the solution using an iterative refinement algorithm finally
該方法利用小波變換將圖像分成若干層次，通過引入有效子圖的概念來降低待搜索的數據量，應用小波理論的多分辨分析思想來縮小搜索空間，最後通過迭代求精演算法實現了圖像的快速、高精度配準。 -
Mmis provides the following types of searching methods : basic search, advanced search and image search
多媒體資訊系統為讀者提供了下列各種不同的檢索資料方法，分別是基本檢索進階檢索及圖像檢索。 -
The writer analyzed mallat three criteria and introduced the optimized function based on these three criteria, at last found optimized mother wavelet for edge detection. at the end of this chapter single edge searching method based on local maximum is introduced and gained ideal edge image
分析mallat提出的評價邊緣檢測函數優劣的三個判別函數，利用這三個判別函數列出最優化方程，推導出邊緣檢測最優小波，最後創造性提出局部最大值單像素邊緣搜索法，提取出單像素寬度邊緣圖像，圖像效果達到了滿意的效果。 -
It can implement fpa data sample, data rearrange, nonuniformity correction, image enhancement, defect pixel automatic searching and compensation, video signal synthesizing and displaying, etc
可以實時完成焦平面信號的數據採集、數據重排、非均勻性校正、圖像增強、疵點自動查找和補償以及視頻合成顯示等一系列功能。 -
Sometimes, you can be searching a graphic file with an image in mind
有些時候，你需要搜索一個在你腦海中的圖像 -
The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image, for example image enforce, segmentation of image and so on. we get rather satisfying effect by using these algorithms. in initial phase of the system, in order to get the information of field and automobile " s edge, the paper introduces detecting algorithm to confirm end - points of field, improved hough algorithm, and worm - following algorithm to pick up edge. in real - time checking phase, the most importance aim is to identify sign circles, so we advance a qiuck searching algorithm based on threshold
文中詳敘了系統的實現思路，對于預處理階段採用的圖像處理技術，如圖像增強、圖像分割等，提出了一些相應的改進演算法，取得了較滿意的處理效果；在系統初始化階段，為了獲取場地的端點信息和汽車邊緣信息，分別介紹了自動確定場地端點位置的檢測演算法、改進的hough變換演算法和提取區域邊緣的「蟲隨法」 ；在系統的實時檢測階段，最主要的目的是識別檢測標志圓，為此，文中提出了基於閾值的快速搜索演算法，有效的提高了目標物體區域的提取和識別速度。 -
Then by the methods that detecting the crossings, modifying the coordinates, making contour, searching for the largest area and so on, the worked image is analysed and the chessman ' s coordinates are gained
然後使用交叉點檢測、坐標修正、輪廓提取、最大面積法等方法，對二值圖像進行分析，得出棋子位置。最後對棋子身份進行了邏輯判別。 -
Wiener method is based on statistics estimated from a local neighborhood of each pixel. ( 2 ) acquisition of head and brain volumetric data and development real head and brain reconstruction and visualization algorithms : by using threshold technique and morphological operations such as dilate and erosion, head segmented data were obtained. to obtain the brain segmented data, construct an initial template, design and developed a naval algorithm to make the initial template dynamic change with image slice to get the brain data ; designed a framework for searching, sampling and storing contour data
採用灰度閾值技術和數學形態學的操作獲取頭的數據；在對腦的分割中，本文提出了一種根據腦圖像特點和相鄰圖像在幾何結構上具有相似性的特點，構建了自適應模板匹配檢測腦的方法：首先選擇其中最易處理的圖片應用閾值化演算法和形態學方法提取出腦輪廓，然後根據相鄰圖像之間形態具有相似性的特點，再利用形態學演算法實現腦體數據分割的操作。
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