割圓域 的英文怎麼說
中文拼音 [gēyuányù]
割圓域
英文
cyclotomic field-
Secondly, programmed the image processing arithmetic code which include the bottom arithmetic for the general condition comprises threshold division, region combination and informate and the middle level arithmetic for the given task comprises detecting the line dation creirection according to the hough transform in order to fix on the hole ’ s azimuth angle, detecting the aiguille tip position according to the image movement according to the environment and the image format
然後，根據目標環境要求和攝像機採集圖像格式，開發了圖像處理演算法程序。圖像處理演算法包括底層演算法和中層演算法兩部分，底層演算法針對通用情況，包括閾值分割、區域合併和信息生成。中層演算法針對具體任務設計，包括利用hough變換檢測棱線的方向，從而確定圓孔的方位角和利用基於圖像運動檢測鉆頭尖端位置。In this system, the movement of the step - electromotor is controlled by computer, and then the dial pointer is drove by the step - electromotor. at the same time, these images of the analog instrument are took by high precision ccd video, and then these images will be processed by the computer, using some image - processing algorithms such as image segmentations, threshold identification, image binarization, areas labeling, dial center - point identification, useful areas identification & abstracting, and areas thinning, etc. followed this, the dial pointer of the “ circle ” is able to be located. at last, the dial pointer position will be recognized by the computer
本系統由計算機控制步進電動機的運動，進而驅動指針式儀表表針的運動，並且通過高精度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，包括圖像分割，閾值確定，圖像二值化，區域標記演算法，圓心擬合，有效區域識別提取，區域細化等，最終快速識別出表盤指針所處位置;最後，根據國家指針式儀表類檢定規程所制定的演算法計算出該儀表的相關誤差，檢定指針式儀表的各種精度，通過這些數據判斷該儀表是否合格，列印該儀表的檢定結果報表。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。A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique
本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究，其具體內容為：對近年來的研究工作進行了系統的介紹；提出了一個由粗到細的多階段的人臉檢測演算法，該演算法充分利用了序列圖像中人臉模式的各種有用信息，將復雜的檢測工作分為了四個部分：膚色區域分割預處理，人臉粗檢及利用橢圓擬和的人臉區域提煉，應用人臉基本特徵檢測和定位的人臉細檢， pca結合高斯概率密度估計的人臉驗證。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。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。To the noise, singular point, non - face area and the division of face area, this dissertation proposes filter, segmentation by clustering and area combination methods respectively ; to the detection of oriental faces in color images and complex context, the author combines the skin - color model based face rough detection and the ellipse based face location methods to one, then verify the candidate face by abstracting face features. experiment indicates that this algorithm is feasible and highly efficient
針對類膚色區域中的噪聲、奇點、非人臉區域以及人臉區域被割離的情況，本文提出了濾波、聚類分割、區域合併等演算法；針對人臉非人臉區域的的分割，修改並採取了橢圓模板定位的方法；針對「候選人臉」中出現的「虛警」問題，首先提取人臉面部特徵，然後採取人臉驗證演算法加以驗證。分享友人