local threshold 中文意思是什麼
local threshold
解釋
局部異常下限-
The method combining local ga with global ga optimizes the performance of visual servoing system. first, target recognition preprocess is carried out by global ga. after the fitness value reaches a certain threshold value, the global ga will
主要通過全局ga完成目標檢測的預處理，當適應度值達到一定的閩值以後，它將切換到局部ga來進行一個更為精細的和快速的目標識別。 -
It has such feathers as multi - resolution, constant relative bandwidth, and the ability to indicate the local features of signal in time and space. after wavelet transform by using proper wavelet basis functions, the epileptic waves can be separated at different scale, then we can detect the epileptic waves by using the wavelet transform result at the proper threshold value
本文選取適當的小波函數，將信號進行連續小波變換，把腦電信號中的癲癇特徵波在不同的尺度下分離出來，然後選取特定尺度下的變換結果，通過閾值判定方法對棘波進行檢測。 -
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。 -
At the threshold of a new era, our life saving training programmes become more diversified. except aforementioned, a number of training programmes with the world s latest techniques, e. g. jet ski rescue, aquatic first aid, accupressure first aid and international referee training, which attracted some enthusiastic participants from other countries as well as local to participate
近年來本會更展開一連串斬新及優秀的創新訓練計劃，其中如水上電單車拯溺、手力急救、水中急救、國際裁判訓練等等，吸引了不少熱心拯溺的外國團體及本港人士參與，使這些世界尖端的拯溺技術訓練得以發展及宣揚。 -
The first method is adaptive threshold segmentation based on local blocks of image
第一種圖像分割方法是基於局部分塊的圖像自適應閾值分割方法。 -
The present algorithm provides a threshold aid uses the value of the dual fitness function to distinguish global optimal and local optimal basins
該法提供了一個閾值，利用對偶適應度函數值辨別全局最優盆和局部最優盆。 -
Entropy of an image is to express the smoothness or homogeneity of the image. while computing in a local window, if there exist edges, the local image will not be homogenous, variation of the grayness will be sharp and the entropy obtained will be low. otherwise, the entropy will be high. given the threshold of entropy, it can be determined whether or not exist edges. because entropy operator is sensitive to noise, the effect is bad if it is directly used to detect edges. in view of the deficiency, the paper comes up with an edge detection method in which entropy operator is combined with noise removal. if the entropy computed is higher than the threshold, it will be necessary to determine whether it is caused by noise or by edges. thus edge detection and noise removal can be made at the same time. with this method satisfactory effect has been achieved by experimenting upon image with low ratio of signal to noise
圖像的熵用來刻劃圖像的平滑性或均勻性.在圖像的局部窗口中計算時，如果窗口中存在邊界，則窗口中的圖像不均勻，其灰度變化急劇，計算出的熵小；反之熵大.設定熵的閾值，即可判斷是否存在邊界.由於熵運算元對噪聲很敏感，直接用它進行邊界檢測，效果很差.文中針對這一缺陷，提出將熵運算元與去噪相結合的邊界檢測法，如果計算出的熵大於閾值，要判斷是噪聲的出現所引起，還是邊界的出現所引起，這樣，邊檢測邊界邊去噪聲.用該方法對信噪比較低的圖像進行實驗，得到了滿意的效果 -
Different threshold selections and thresholding methods are discussed. the new robust local threshold scheme is proposed
討論了幾種閾值選取方法和閾值策略，並提出了一種魯棒局部閾值去噪法。 -
Quantifying the performance of image denoising schemes by using the mean square error, the performance of the robust local threshold scheme is demonstrated and is compared with the universal threshold scheme
用均方差衡量去噪性能，實驗表明用魯棒局部閾值去噪法好於全局閾值去噪法。 -
Clipping the image and judging local threshold are put forward by a lot of experimental analysis, and it works to compensate the influence lead - in by gradient and bended spectral pattern
在大量實驗分析的基礎上提出了剪裁圖像和局部閾值判斷的方法，較好的補償了譜線圖像傾斜彎曲帶來的影響。 -
An adaptive binarization filter algorithm is presented, which combines adaptive filtering with local threshold binarization method. the algorithm overcomes the effect of uneven light and noise on binarization, especial for shade images
該演算法將自適應濾波與局部閾值二值化有機結合起來，較好的克服了噪聲對二值化的影響，特別對陰影圖像二值化處理具有良好效果。 -
Targeting the major problems hindering the development of s & mes in china, the author, on the basis of referring to foreign experience, proposed counter - policies and suggestion in the following aspects : accelerate the legislation of promoting the development of s & mes ; establish united national monitoring institution ; define s & mes state will concentrate on supporting ; lower the entrance threshold set for s & mes ; establish and improve tax, finance and innovative supporting policies respectively ; start social service system for s & mes in the area of finance, technology, guarantee, management consultancy, marketing, employee training ; also, the author introduced the basic condition of s & mes in hubei province, analyzed the current situation and main problem of non - state - owned s & mes and raised concrete action plan for local government to promote their development
如：加速制定有關促進中小企業發展的立法，建立全國統一的中小企業監管機構，明確國家重點支持發展的中小企業類型，降低中小企業市場準入門檻，分別建立和完善扶持中小企業發展的財稅政策、融資政策、科技創新政策等，同時要在資金融通、技術開發、信用擔保、管理咨詢診斷、市場開拓、人才培訓和創業服務等方面建立起為中小企業服務的社會化服務體系。文章通過對湖北中小企業發展的實證研究，簡要介紹了湖北中小企業基本情況，深入剖析了湖北非國有中小企業的現狀和主要問題，提出了地方政府在促進中小企業發展方面的具體行動計劃。 -
The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed. the signal local singularity under the wavelet transform are studied. the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed, too. the denoise effect of different threshold and threshold function are studied. base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold, a modified algorithm is developed : combining threshold distinguishing and shield filter method
討論了基於mallat理論最大模數方法以及基於donoho理論的閾值萎縮去噪方法的差別，研究比較了不同閾值規則與閾值函數對去噪效果的影響；在此基礎上，結合統一閾值和置信區間閾值各自的優缺點，提出閾值判別和屏蔽濾波相結合的方法。 -
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。 -
Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。 -
A verification technique, which obtains unbiased estimator for the means and variance of several global and local features is presented and a matching way after acquiring the threshold by probability density function is achieved
摘要論述了在獲得在線手寫簽名的曲線的一些局部和全局特徵的平均值和方差的無偏估計的基礎上，通過概率密度函數進而獲取閾值進行匹配的鑒別方法。 -
Secondly, texture segmentation based on local binary pattern ( lbp ) texture descriptor is very time consuming. for one thing, we adjust the computing method of lbp, for another, set two merging threshold instead of only one
第二，針對局部二進制模板紋理分割速度較慢的問題，本文一方面調整了模板運算元的計算方式，另一方面將單一門限的區域合併改進為雙門限合併。 -
Besed on wavelet " s well localized characterizes in time frequency and space frequency, we can exactly depict events of nonnoise by decomposing to signal using binary - wavelet transform. for events of noise, local max can be found at singular points of signal by using wavelet transform norm of signal, so adopting multiscale wavelet analysis the maximal point of wavelet transform norm, which risen by the noise, with increasing of scale, which rien by the fault appeared. gived a properly threshold and compared the relation of data that have been transformed not only find the fault in the low noise signal but also resume the signal by filtering noise, which have good power of examining singular signal being unexpectedly change
對于噪聲中的事件點，利用信號的小波變換的模在信號的突變點取得局部最大值，採用多尺度（多分辨）小波分析，則隨著尺度的增大，噪聲引起的小波變換模的極大值點迅速減少，而故障引起的小波變換模的極大值點得以顯露，我們給出一個適當的閥值，比較閥值和變換后數據的關系，不但可以在低信噪比的信號中監測到故障信號，而且可以濾去噪聲恢復原信號，對突變的奇異性信號具有良好的監測能力，能夠有效地找出噪聲中的事件點。 -
The eyes can be considered as a salient and relatively stable feature of faces, so firstly eyes - analogue regions in cluttered images are segmented using local adaptive threshold edge detector. then the small eye - analogue regions are grouped together and labeled using a traditional labeling process according to their geometrical and color features. instead of finding potential eye - pairs from eye - analogue regions one by one, all possible pairs of eyes are encode as the solution, and the potential face are searched by gas
新意之處：利用膚色是一種感知現象的特性以及神經網路的強大感知、學習功能，採用進化神經網路對膚色進行感知和分類；以眼睛的幾何和周邊的膚色特徵分割眼睛塊，克服了在完整的膚色區域內檢測人臉方法的局限性；對候選眼睛對的編號而不是人臉在圖像中的位置、人臉的尺度和方向進行編碼，使遺傳演算法用於人臉定位時的問題空間得以大大簡化，採用一個新穎的眼睛及臉頰部位的灰度投影及膚色模板驗證，可以實現多尺度、任意方向的正面人臉檢測，實驗結果令人滿意。 -
For innovation diffusion model with three products, the global stability of the unique positive equilibrium is proved, by using the generalized poincare - bendixson theory and the competitive system theory. the threshold between the extinction and existence of the product without advertisement in the market is considered. for four products, the local stability of the unique positive equilibrium is proved through hurtwiz theory
當三個產品在市場中競爭時，利用推廣的poincar - bendixson定理以及競爭系統理論，我們證明了模型有一個全局穩定的正平衡點，並得到一個沒有廣告宣傳的產品佔有市場或被淘汰的閾值，當四個產品擴散時，利用hurwitz定理，我們證明了唯一正平衡點是局部穩定性的。
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