波形分割 的英文怎麼說
中文拼音 [bōxíngfēngē]
波形分割
英文
waveform division-
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。Study on automatic hexahedral mesh generation method based on the local wave method
基於局部波形法的六面體自動分割網格法研究Government ' s monopoly of capital market also leaded to the " shell " value of listed company which is irrelative to the company ' s invest value, which made the higher general price in the market. in addition to, the structure of investors which is consisting of many individual investors and few institution investors lets it easy to manipulate the stock market for the institution investors. according to the origins of the systematic risk, it is necessary to improve the market mechanism and market efficiency to eliminate the system root of the risk to decrease the risks
突出地表現在：資本市場服務于國企轉制，造成上市公司股權結構存在缺陷，致使公司治理失效，上市公司缺乏持續發展的能力，公司經營風險轉化為市場的系統性風險；政府對資本市場準入的行政性壟斷，形成上市公司「殼」價值，虛高股票市場價格，引發系統性風險；金融市場分割，特別是貨幣市場資金缺乏進入資本市場的正常渠道，利率市場化水平低，影響金融資產定價，導致違規融資盛行，加大了市場風險；而由於市場監管不到位，以散戶為主的投資主體結構，則易導致機構大戶利用內幕信息操縱股價，機構投資者的發展不僅沒有成為穩定市場的力量，反而成為操縱市場的主力，加劇了市場波動。According to difference of speech waveform between transition segment and non - transition segment, dividing between sonant is researched using waveform cross correlation. a method of syllable segmentation is presented based on waveform cross - correlation. ( 2 ) pitch detection of speech signals
為解決濁音之間的分割問題，本文根據語音中過渡段與非過渡段語音波形的差異，利用波形互相關性進行了研究，提出了基於波形互相關性的音節分割方法，並進行了實例分析。For a x - directed line current with lengh much smaller than a wave length, the e - field pattern on coordinate planes in 3 - d space in the region from much smaller than line length to one or two wave length, the synthesized pattern by summation of the field of many line segments of hertz dipoles is independent of the number of segments, i. e. same field as a single hertz dipole
以水平面上三角形甚小於波長線電流為例，分割為若干小段之赫芝偶極所加總合成在三度空間任意座標平面上距離從甚大於線長到一兩個波長區域之電場場型與分割小段數量無關，即等同於一單一赫芝偶極之場型。In this paper, the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image, the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter, the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape, perimeter, area, diameter, complexlity, longest feret diameter, shortest feret diameter etc, are extracted. this technique is applied in measurement of pearl powder ' s particle size
本文根據粒度圖像的特點，採用非線性對比度增強處理改善顆粒顯微圖像的對比度；對多種閾值分割方法進行比較，分析了它們的性能和用於粒度圖像的適用性，在此基礎上提出了一種基於梯度圖像的動態閾值分割方法；對獲取的顆粒二值圖像進行形態濾波和空洞填充，設計了識別演算法去除凝聚體；對重疊不太嚴重的粘結顆粒採用了兩種基於數學形態學的分割演算法；提取了周長、面積、粒徑、復雜度、最長feret徑、最短feret徑等大小和形狀特徵參數，對珍珠粉等粉體粒度進行了測量。Abstract : the high - frequency pulse waveform of wedm pulse generator was analyzed. basic condition method is presented the results is well
文摘:分析了電火花線切割機脈沖電源的高頻脈沖波形，提出了有效的控制方法，獲得了良好的綜合效果。This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic
本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region
演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。Then two feasible segmenting algorithms are introduced according to the different characteristics of filtered images. for further improving the performance of segmenting, a morphological filter is employed to extract targets of interest
而且，為了進一步提高檢測概率、降低虛警概率，本文又採用了一種形態學濾波演算法，進一步從分割后的圖像中提取感興趣的目標。An interferometric lithographic experimental system with maskless and multi - beam exposure is built. an experimental system with wavefront divided by a trapezoidal prism and with selectable diaphragms for kinds of multi - beam, multiple - exposure interferometric lithography research is proposed. the experimental study on interferometric lithography is carried out
建立了無掩模多光束多曝光干涉光刻實驗系統，提出了一種採用梯形棱鏡進行波前分割和利用可選擇光闌進行多種多光束多曝光干涉光刻研究的實驗系統，進行了干涉光刻實驗研究，對模擬和實驗結果進行了分析。Abstract : by using the pulse - sequence model ， the inverse problem of amplification of broad - spectral - bandwidth laser pulse has been studied ， i. e. ， to find the initial input temporal pulse profile ， spatial profile ， spectral distribution and fluence from the required output temporal ， spatial pulse profile ， spectral distribution and fluence as well as the given amplifier parameters
文摘:採用脈沖分割模型，研究了寬頻帶激光脈沖放大的逆問題，即由所要求的輸出激光脈沖時間、空間波形、光譜分佈和能量密度，並給定放大器參數情況下，求輸入激光脈沖時間波形、空間、光譜分佈。Divide the image into several regular blocks, do n ' t separate the blocks without consistent attribute and unite the blocks with the same attribute, until forming a district map. the ability that man can distinguish different goals from the complicated scenery quickly, at least partly benefit from many kinds of information in the image, such as the grey level, border, texture, etc. it illumine people to create methods on how to use mis information to segmentation. edge information is the most important high frequency information of an image
本文以湖北省科技廳重點科技發展計劃項目資助課題? ? 「智能運輸系統的視頻信號採集及識別演算法研究」為背景，以課題中數字圖像處理部分主要環節之一? ?車牌圖像的分割問題為主要研究目標，在參閱大量文獻資料的基礎上，對數字圖像分割方法進行了學習和研究，並結合特定的數學理論，如數學形態學、小波分析等，對車牌圖像分割方法進行了著重地探討與實現。With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature
本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。In this thesis, one kind of new lifting scheme is introduced first, and some applications are given in image segmentation fields. then a new kind of adaptive lifting scheme is proposed together with its application in certain special field, such as detail - holding in multi - scale analysis
本文致力於兩方面的工作，首先，構造一種具有形態學特性的新型提升格小波演算法，並應用於一類圖象的分割子問題；其次，提出自適應提升格的概念，並構造一種演算法應用於圖象多尺度分解過程中的細節保持。Firstly, with the application of both morphologic translation and human body feather analysis on binary graph, the human body contours are extracted by exploited moving information, producing perfect human face region segments ; secondly, in order to form an accurate border, the author presents an improved statistical color model, which has removed redundancy successfully ; finally, a high compression rate is achieved by way of combining wavelet transform and different chain codes
首先利用運動信息分割出人體輪廓，並綜合運用人體的特徵與形態數學的方法成功地分離出人臉大致區域；然後採用基於改進統計彩色信息模型方法，精確分割出人臉區域，去掉了不相關的冗餘信息；最後提出了利用圖像小波變換結合差分鏈碼技術描述了人臉對象，並實現了高效的視頻壓縮。Scattering of sh - wave by collinear cracks of any limited length originating diametrecally at the boundary of circular lining which has cracks in homogeneous medium is investigated, and solution of dynamic stress intensity factors in mode at crack tip are obtained
按「契合」方式並採用裂紋切割技術構造含徑向裂紋圓環形襯砌對sh波散射的模型，利用green函數將問題歸結為求解第一類fredholm積分方程組。Based on the combination of all kinds of basic morphologic operators which leads to different top and bottom hat transformations, filtering and threshold enhancement are used to pre - process the image, by choosing appropriate structure elements, quaternary strata can be segmented by morphologic methods
經實驗結果得出，利用數學形態學的基本運算組合成的各種運算元：高、低帽變換、濾波與閾值截取相結合的增強方法，通過選擇合適的結構元素，對圖像進行預處理后，就可以用形態學方法對第四系地層進行影像分割。Second, some popular spatial and temporal technology about the vop segmentation were introduced. third, a modified watershed segmentation preprocessed by multi - scale morphological filters and post processed with improved fast region merging methods was proposed to obtain a good spatial segmentation
在第三章中，介紹了分水嶺變換的定義、優缺點，並研究了在傳統分水嶺的基礎上利用數學形態學濾波器緩解演算法中過分割現象的改進演算法，並給出一種能獲取全局最優解的區域合併方法。Finally a novel algorithm flow is made to achieve 3d focusing with zoom microscope. for low enlargement images, global - coarse orientation is realized with auto - thresholding, corrosion - inflation operation and connected components labeling. and for large enlargement images, local - precise orientation is achieved by multiresolution wavelets segmentation on focus measure technique, which use the phenomena that images blur when out - of - focus
對于低放大倍數下的全局圖像，主要利用形態學中的腐蝕膨脹操作、自動閾值分割、區域標記等技術完成了鍵合目標中心位置的粗定位;而對于高放大倍數下的局部圖像，根據其半離焦的特徵利用基於小波高頻能量的多尺度顯微圖像分割方法實現了精定位。分享友人