threshold filtering 中文意思是什麼

It employs a series of processing methods. for example, it employs different method of threshold according to illumination and the characteristic of the dial plate ; employs the method of mathematic form filtering according to the thought of the line is the most important in image ; employs the method of beeline matching according to the characteristic of the line

此系統利用了圖像處理的基本思想，採用了一系列的處理方法，如根據照度及表盤特點採用了不同的二值化方法；根據圖像中線條最重要的思想對圖像的濾波採用了數學形態濾波方法；根據線條特點提出了利用直線擬合的方法等。

Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法；重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗，闡述了其基本原理和通過閾值化處理實現濾波的具體方法；探討了用小波變換進行故障特徵提取的原理，說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。

Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu

選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。

To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。

The video signal processing circuit realizes the primary catching, filtering and signal amplifying. variable threshold binarization processing circuit and two - channel counter are designed to sample to count the output pulse signal, which is processed, deposited and displayed in microprocessor. the communication interface circuit with the computer is also designed

視頻信號處理電路完成了原始信號的初級捕捉、濾波、視頻放大等處理，設計了浮動閾值二值化處理電路，採用兩路計數器對輸出脈沖信號采樣計數，最後送入微處理器進行運算處理，可實現測量值的儲存、顯示等，並設計了與上位機的通訊介面。

By the theoretical analysis and experimental test, the image processing procedure of the system has been designed. firstly, the system needs carry out pre - process : the median filtering and average filtering of acquired image, next carrying out the threshold of filtered image, then performing morphology, such as open, close and so on. next, the boundary of binary image is extracted

通過理論分析與實驗驗證，得到了本系統圖像處理過程:首先對採集的圖像進行預處理，包括均值中值濾波，通過閾值分割進行二值化，然後對二值圖像進行開啟、閉合以及進行邊界提取操作來獲得清晰的圖像邊緣，最後通過邊緣檢測和擬合測量得到沖擊試樣各尺寸值，圖像坐標變換和模式匹配可以完成檢測區域定位。

Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness

在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。

The practical methods of signal pre - processing ( anti - disturbance filtering, data smoothing ) and character extraction ( differential limitation, absolute peak value, peak - to - peak value, area of wave and self - adaptive threshold adjustment ) are introduced

並介紹了一些實用的信號處理和特徵提取演算法，包括可以實時運算的用於抑制干擾的濾波器和數據平滑演算法及用於定量分析的差分超限數、絕對峰值、峰-峰值、波形下面積和自適應門限調整等演算法及其應用。

The method includes split originality image region, filter, separately coding the lowest frequency sub - band coefficient, adaptively setting threshold of different image region, setting up flag matrix, and filtering after decoding to eliminate domino effect of split

這種編碼方法主要包括：對原始圖像進行分塊、濾波；對最低頻子帶系數單獨編碼；對各塊圖像自適應地進行閾值設置；設立標志矩陣；解碼后進行濾波消除分塊效應。

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。

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。

Such as appender threshold and custom filtering

繼承諸如appender閾值和自定義過濾之類的公共功能。

The contour data is extracted by filtering noise of images, threshold segmentation and contour extracting. during the image processing, the noise is filtered by using median value filtering mean

採用對圖像先濾波去噪，然後閾值分割，再用四鄰域或八鄰域輪廓提取的方法將邊界點析出。

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。

In this paper, the part of apis based on minutia features includes mainly computing orientation, filtering, binarization, thinning, feature extraction, postprocessing and minutia matching ; the part of apis based on statistical features is composed of reference point location, extracting feature, classification and matching. some new approaches are brought forward : 1 ) in the preprocessing, a new binarization method of fingerprint images based on the orientation and the dynamic threshold is proposed, which has the excellent capability of noise resistance. this method makes fully use of the orientation and the characteristics of grayscale change, gets the binarized images from the primitive fingerprint images directly, instead of the series of processing such as smoothing, enhancement and binarization

本論文對這兩種系統做了深入地研究，從基於細節點特徵的系統中求取指紋方向圖? ?濾波? ?二值化? ?細化? ?特徵提取? ?后處理，到基於統計性特徵的系統中選取指紋圖像參考點? ?提取統計性特徵? ?分類? ?匹配等環節，都一一進行了討論，並提出了一些新方法： 1 ）在基於細節點特徵系統的預處理部分，本論文提出一種新的基於方向圖具有動態閾值的指紋圖像二值化方法，這種演算法能夠在保持特徵點不丟失的基礎上一次性完成一般指紋圖像處理中的無效塊分割、增強、濾波、二值化的過程。

After removing noise by the difference filtering arithmetic, the bubbles were separated from background to obtain the pre - segmentation image by using morphological gradient and adaptive threshold

利用差影演算法濾除背景干擾，依據形態梯度和自適應閾值分離前背景，得到預分割圖像。

Their motion trajectory is analyzed and motion estimation is made, and these components are clustered into objects with motion coherence. in addition, other key problems such as video temporal segmentation, color space selection and temporal filtering are discussed and an adaptive threshold video shot cut detection algorithm and a weighted median - filtering algorithm are presented as solution

通過區域生長演算法，輸出視頻中具有顏色同質性的組件，接下來進行運動估計和元素運動軌跡分析得到這些同質組件的運動信息，並用空間聚類演算法將具有運動一致性的組件合成視頻對象。