最小方差分割 的英文怎麼說

中文拼音 [zuìxiǎofāngchāfēngē]
最小方差分割 英文
minimum variance partition
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 割 : 動詞（截斷） cut; mow
  1. In the research of value domain segmentation of images, a modified variance algorithm, a subtraction segmentation algorithm and an improved pulse coupled neural networks segmentation algorithm are proposed. in order to successfully implement the space domain segmentation, this paper also develops an algorithm that can distinguish connexity between pixels and extract the feature parameters in one image scanning procedure

    在圖像值域分割研究中，根據炸彈在雙能量x光圖像中的特性，提出了三種分割演算法：一種修正的最小類內方差分割演算法，一種雙能量x光圖像差減分割演算法，和一種改進的脈沖耦合神經網路圖像分割演算法。
  2. In the course of measurement of workpiece face runout, variance method of the most species based on separability and image edges distilling based on morphology and marr filtering based on edges segmentation are used to enhance effectively accuracy of image segmentation and edges distilling. accuracy of measurement of face runout is enhanced effectually by use of least square method of compressing rectangle fitting edge of image and transforming of dft

    該系統在工件端面跳動測量過程中，採用了基於可分性的最大類間方差法和形態學邊緣提取以及基於邊界分割的marr演算法，使圖像分割和邊緣提取的準確性得到了很大的提高；用壓縮矩形的最小二乘法擬合工件端面圖像的邊緣以及用dft變換對工件端面的跳動量進行測量，使端面跳動測量的準確性得到了很大的提高。
  3. Parametric active contour model to deal with automatic segmentation of weak edge medical image. based upon analyzing balloon force model, a minimum variation snake model is proposed and successfully applied to segmentation of weak edge medical image. in the model, variable force incorporating the information of foreground and background regions replaces constant force in the balloon snake model

    高斯力和氣球力等傳統的參數活動輪廓模型難以處理弱邊界醫學圖像自動分割問題，在氣球力snake模型基礎上，提出最小方差snake模型，該模型將氣球力snake模型中的恆定氣球力修改為包含區域信息的變力，以目標和背景兩區域具有最小方差為準則，引導輪廓曲線運動。
  4. A developed simple m - s model for image segmentation in geometric active contour model is presented based on intra - region similar and inter - region dissimilar properties. the model constructs an energy ( cost ) function, which is made of intra - region variations and weighting squares of subtraction of region mean values. using gradient - descent methods, the energy function is minimized and we get a curve evolution equation that segments image

    基於區域內一致性加權區域間差異性構造能量函數，利用最陡梯度法使能量函數最小化，提出了一種改進的簡化mumford - shah （ m - s ）圖像分割模型，該模型利用區域內方差描述區域內一致性，區域間平均灰度值之差的平方描述區域間差異性，實驗結果表明，通過調節加權系數，該模型對弱邊界圖像分割具有較強的適應性。
  5. The image segmentation is done with the approach of region growing based on block mean and variance. considering the size of extracted objects and their relative position information, get rid of the " noise " objects and merge the meaningful fragmentary regions into their corresponding bigger ones. finally all pixels in non - object blocks are classified into their corresponding adjacent objects

    圖像首先被分成合適大小的子塊，子塊的色彩均值和方差值作為像素群的屬性，用基於子塊的區域生長來進行圖像分割；根據提取出的對象大小以及它們的空間位置關系，去除掉過小的噪聲對象同時將有意義的小對象合併到其所屬的大對象中；最後處于邊界的子塊將逐像素地歸類到對應的相鄰對象中。
  6. 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。
  7. This paper use techniques of linear windows, differential operator, min operator, fuzzy - mathematics and mathematical morphology to complete the precise orientation of license plate, and use horizontal projection and local - least value techniques to complete the segmented of the characters, and the artificial neural network technology is applied to complete the character recognition

    本文應用線窗口、差分運算元、 min運算元、模糊數學、數學形態學等技術手段完成了車牌的精確定位，應用水平投影、局部最小值等方法完成了車牌字元的分割，應用神經網路感知機等技術解決了字元識別的問題，開發出實用的演算法。
  8. Two interactive segmentation methods, snake ( active contour ) and live wire, which are very popular, have been introduced for the medical image segmentation. a snake is a spline curve, which is controlled by an energy equation. to minimize the snake ' s total energy, the finite difference and greedy algorithm have been implemented

    論文引入了snake和livewire兩種十分流行的醫學圖像交互分割方法，詳細推導snake的能量方程，實現了最小化能量方程的有限差分和greedy兩種演算法，並利用鄰近圖像的相似性，將其成功應用於圖像序列的分割； livewire是一種象素級的輪廓搜索演算法，它在方向圖中找到開始點和目標點之間的最小代價路徑。
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