這緣檢測 的英文怎麼說

中文拼音 [zhèyuánjiǎncè]
這緣檢測 英文
bias test
  • 這 : 這代詞（常用在量詞或數量詞前） this
  • 緣 : Ⅰ名詞1 （緣故） reason 2 （緣分） predestined relationship 3 （邊） edge; fringe; brink Ⅱ動詞（攀...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. The key fruits is as follows : 1 in the image - preprocessing, the optimal edge - extraction algorithm was used to increase the correlation s / n and auto - thresholding technique was introduced to decrease the affection of illumination distortion on the recognition possibility, and the bottle - neck of image - preprocessing was delivered to the dsp which is on the genesis card instead of cpu

    論文的重點內容如下： 1 、在預處理圖像中，優選了邊緣檢測演算法，並引入自動門限，還將預處理的速度瓶頸交給了圖像卡上的dsp ，這樣不僅提高了s n ，而且也提高了對不同光強的適應能力，還防止了速度瓶頸、減輕了cpu的負擔。
  2. Based on these algorithms, and consider the property of the arc image, we proposed a new multi - stage algorithm. the proposed algorithm involves the class separability criterion in pattern recognition, and double - threshold method and non - maximum suppression proposed in canny operator. we apply this algorithm to the arc image, and get a better result

    並在這些演算法的基礎上，基於電弧圖像的特點，提出了一種改進的多階段邊緣檢測演算法，這個演算法中應用到模式識別中的類別可分離判據的理論，並使用了canny演算法所中提出的雙閾值法和非極大值抑制方法等等。
  3. This edge detection method combines the advantages of wavelet lifting method and mathematical morphological method, which fuses the two edge information obtained by different methods, so the noises are restrained effectively and the edges are consecutive and clear

    這種邊緣檢測方法結合了小波提升法和數學形態學法的優點，對用這兩種方法得到的邊緣信息進行融合，有效地抑制了噪聲，且邊緣連續、清晰。
  4. In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  5. In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  6. Experiments show that the algorithm presented in this paper is able to effectively overcome bluring affects caused by the point spread function and apparently promote the recognition rate, and the algorithm is better than that based on edge detection

    實驗結果表明，這里提出的演算法能有效克服光學系統的降晰對條碼識別的影響，顯著提高了識別率，其性能優于基於邊緣檢測的演算法。
  7. Some strategies introduced in this recognition algorithm are proved to be effective and improve the performance of the algorithm. experiments show the recognition algorithm based on subpixel edge detection proposed here is advantageous over traditional recognition algorithm and can get a more accurate edge position between bar and space

    實驗表明本文的識別演算法具有很好的性能，這里提出的基於亞像素邊緣檢測的識別方法優于傳統的條碼識別方法，能夠獲得更為準確的條空邊界位置。
  8. The rnultiscale edge detection and texture image segmentation are studied based on the variogram function

    我們基於變差函數的這種性質對圖像的多尺度邊緣檢測和紋理分割作了較為深入的研究。
  9. A simulation example for edge - detection is given to demonstrate validity of the adaptive filter. 3

    一個模擬實例表明這種用於邊緣檢測的自適應濾波器是有效的。
  10. Image edge detection based on multiresolution wavelet transform makes up these shortages before. wavelet theory has good local inspect ability in time region and frequency region, and the character multiresolution. these are theory basis that wavelet transform is applied to cell image edge detection

    小波變換是80年代後期發展起來的一種變換域信號處理方法，具有時域和頻域上良好的局部檢測能力和多解析度分析的特點，從而被譽為「數學顯微鏡」 ，這是我們將小波變換應用於細胞圖像邊緣檢測的理論依據。
  11. The paper also analyzes synthetically the effects of some smooth filters prior to image segmentation and indicates that gaussian lowpass filter, a alterable scale filter, is a good choice to establish a balance between the reservation of image details and removal of noise. on the basis of current investigation of actuality and trend of image segmentation at home and abroad, the paper adopts marr operator, called by optimal edge detection to improve greatly efficiency of image segmentation and edge abstract. the sparse edge

    論文在分析當前圖象分割的現狀和趨勢的基礎上，採用被稱為最佳邊緣檢測運算元的marr演算法，使圖象分割和邊緣提取的準確性得到了很大的提高；利用人機交互輔助的方法來搜索已經檢出的稀疏邊緣點，並用最小二乘法擬合這些邊緣點，使裝配間隙寬度的測量的精度和準確性得到了極大的保證。
  12. 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。
  13. Firstly, the classic methods of image edge detection are introduced, including differential coefficient which are roberts image edge detection, sobel edge detection, and prewitt, robinson, kirsch image edge detection, and second - order differential coefficient which are laplacian edge detection and log edge detection. finally analyzed the experiment results of these methods application on a picture

    介紹了經典的圖像邊緣檢測方法，包括一階微分邊緣檢測的roberts邊緣檢測， sobel邊緣檢測和prewitt ， robinson ， kirsch邊緣檢測，以及二階微分邊緣檢測的laplacian邊緣檢測和log邊緣檢測，並通過實驗的方式比較了這些圖像邊緣檢測運算元的實際效果。
  14. The article plots gray and color difference curves based on mach band images. author introduces an algorithm of automatic threshold choice based on the curves in the wavelet edge detection. gray and color images are tested, and there is a good result

    以此為基礎提出了小波邊緣檢測中的自動閾值選取演算法，分別用灰度圖像和彩色圖像作實驗，實驗結果證明了這種演算法具有較強的自適應性和較好的提取效果。
  15. Some conventional detection operators are analysed in detail, such as roberts operator, sobel operator and laplacian operator, and also apply this operators to the arc image to test their detection results. but these conventional detection operators have a common shortcoming : they are too simple

    主要的研究工作包括以下幾個方面：對一些傳統的邊緣檢測運算元，如： roberts運算元、 sobel運算元、拉普拉斯運算元等等進行了原理分析，並將這些運算元應用於電弧圖像，測試其邊緣檢測的效果。
  16. First, the source image was decomposed by wavelet lifting, using mathematical morphological method extracts edges in low - frequency approximate image and using wavelet transform method extracts edges in high - frequency detailed images on the different levels, then the two edge images were fused according to some fusion rules to obtain an integrated and clear edge image

    對源圖像進行小波分解，用數學形態學法對低頻子圖像進行邊緣檢測，用小波變換法對不同分解層上的高頻子圖像進行邊緣檢測，採用一定的融合規則將這兩個邊緣圖像融合在一起得到一幅完好的邊緣圖像。
  17. This made their performance of noise suppressing and edge orientation is not very good

    但這些傳統邊緣檢測運算元都過于簡單，其去除噪聲以及確定邊緣位置等性能不是很理想。
  18. Detaching the wear region and background, caculating the threshold value is 151, 147, 118 taking overlap method and maximum dispersion method of high - load small particle abrasive wears low - load big particle abrasive wear and adhesive wear, then processing edge detection and skeleton map with classical sobel and gauss - laplace and kirsch arithmetic operators of template matching method, making the shape skeleton produced by different wear mechanism embodied cleared. and analysing the trait of shape skeleton

    然後應用邊緣檢測的經典邊緣檢測運算元sobel運算元、 gauss - laplace運算元和模板匹配法中的kirsch方法對圖像進行邊緣檢測以及輪廓提取，使這三種磨損形式的不同磨損機制所產生的形狀輪廓得到清晰地體現，並結合磨損機制分析形狀輪廓的特點。
  19. In the paper, we extend the definition of traditional image edge to morphology edge, derive a series of new morphological operators which are enlightened by semi - increasing and semi - continuation and first time bring forward double - structure element used in morphological processing at one time

    受形態運算性質中有限遞增性和半連續性的啟發，我們提出在一次形態處理中使用雙結構元的一系列一般性形態邊緣檢測運算元和抗噪型形態邊緣檢測運算元，從理論上證明了它們的可行性並給出這些運算元的性質。
  20. One of the shortcomings of edge detection in large scale is that it ' s difficult to locate edge precisely, which will make mistakes in pattern recognition based on edge features

    但在大尺度下進行邊緣檢測的一個缺點是邊緣位置容易發生偏移。這對于基於邊緣特徵的模式識別而言會造成誤識別。
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