grey segmentation 中文意思是什麼

grey segmentation 解釋
灰度分割
  • grey : adj 1 灰色的，灰白的，本色的。2 灰暗的，陰沉的，陰暗的。3 灰白頭發的；衰老的；老練的，成熟的。4 ...
  • segmentation : n. 1. 分割；切斷。2. 【生物學】（細胞）分裂；（動物）分節；斷裂。
  1. This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation

    本文以圖像數據庫檢索為主線，討論了基於視覺內容的圖像檢索方法，提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式；對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法，並將改進遺傳演算法應用到圖像分割中，編制了相應程序。
  2. Secondly, this paper mainly put forward different grey level threshold value segmentations of plane target after brief analyse the smooth and sharp image of image strengthen technology, segmentation for the overall situation, adopt the maximum variance method, the maximum entropy combine with adaptive threshold selection method, the maximum variance ration between two classes and in two classes ; segmentation for the part situation, has adopted the adaptive threshold value method ; to background more complicated segmentation, have adopted the two - dimentional maximum entropy method

    其次，在簡要的分析了圖像平滑和銳化的圖像增強技術后，重點研究了飛機目標的灰度分割，提出不同的灰度閾值分割方法進行圖像分割，對于全局分割，採用了最大類間分割法、最大熵與一致性準則相結合法、最大類間類內方差比法;對于局部分割，採用了自適應閾值法;對于背景較復雜的分割，採用了二維最大熵法。
  3. 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。
  4. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
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