region growing 中文意思是什麼

region growing 解釋
區域生長
  • region : n. 1. 地方，地域，地帶；地區；行政區，管轄區，區；左近，鄰近；（大氣、海水等的）層，界，境。2. 【解剖學；動物學】（身體的）局部，部位。3. （學問等的）范圍，領域。4. 〈罕用語〉天空。
  • growing : n. 成長，發育，發達。adj. 1. 成長中的；發育中的；發育旺盛的；增長中的。2. 促進發育的，適于生長的。adv. -ly
  1. A region - growing algorithm was proposed to reconstruct triangular meshes from unorganized point cloud

    摘要提出一種對無規則點雲進行三角網格重構的區域增長演算法。
  2. A region growing phase unwrapping algorithm based on local frequency estimation for interferometric sar

    一種局部頻率估計的區域生長相位展開方法
  3. Moreover, we proposed a region - growing surface reconstruction algorithm. the filtering of the candidate triangles was improved a lot by constructing an influence region during the incrementally region - growing extraction of the surfaces. the construction of the influence region also contributes to make sure that the surfaces are geometrically and topologically correct

    並在此結果基礎上，提出了一種區域增長式的曲面重塑演算法，它通過構造影響域提高了增量式區域增長抽取網格曲面過程中最優三角片的篩選效率，也確保了重塑曲面在幾何和拓撲上的正確性。
  4. A region - disconnecting algorithm based on region growing with scanning is proposed, which disconnects the merged rice kernel image regions through image processing

    摘要針對計算機視覺技術中米粒靠接在一起不利於大米的分級檢測，採用圖像處理分離靠接在一起的米粒融合區域，提出了基於掃描式區域增長的區域分離方法。
  5. The algorithm uses the geometric feature of a single convex rice kernel to search the concave regions merged with rice kernels during the region growing with scanning and disconnect the regions at the concave positions in image

    該方法充分利用了單個米粒圖像區域為凸性區域這一幾何特點，通過區域增長的方法在圖像中尋找由凸性米粒靠接在一起所形成的融合凹性區，並從凹處將融合區域分離開來。
  6. There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region

    演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。
  7. This paper presents a new face detection algorithm for color video images based on skin color and multimodal information fusion. first, this paper presents a new means for selecting skin samples ; and then comparing skin distribution in the eight color spaces and analyzing the adaptability for different skin patterns, poses a face initial orientation ' s method which uses the single gaussian model in the tsl color spaces, and calculates skin probability images ; afterwards comprehensive comparing three typical threshold value separating algorithms, put forwards a face separating method which bases on region growing and fuses multimodal informations ; final, raises a face confirming algorithm which fuses three shape features

    首先提出了?種新的膚色樣本選取方法；然後通過對八種色空間膚色分佈的比較以及不同膚色模型適應性的分析，提出了在tsl色空間上用單峰高斯模型模擬膚色分佈，求得膚色概率圖進行人臉初定位的方法；隨后在綜合比較三個典型閾值化分割演算法的基礎上，提出了融合多源信息進行區域生長分割人臉的演算法；最後提出了融合三個形狀特徵的人臉確認演算法。
  8. Firstly, a fourth - orders statistic hypothesis testing in inter - frame difference is used to automatically separate the moving areas from the background in a general video sequence. secondly, change areas are extracted as markers of the corresponding moving object. using the marker, region - growing algorithm can locate the precise boundary of moving object

    （ 3 ）基於輪廓跟蹤；首先介紹了提取初始模板方法?基於高次統計的判決演算法，通過選擇合適的背景噪聲閾值，最終得到較好的結果，然後對於後續幀中的邊界提取，提出將灰度圖像所使用的區域生長方法進行改進，即將它們運用到彩色圖像中，通過選擇合適的生長規則，得到較好邊界圖。
  9. First, local homogeneity are used to get the h - image, which aims to determine seed regions, and then, a region growing method is introduced to form the initial segmented regions

    首先利用局部同態性得到h圖像來確定種子區域，進而進行區域生長形成圖像的初始分割區域。
  10. 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。
  11. Video object segmentation techniques are discussed, theories and techniques related to video segmentation are introduced and the existing typical algorithms of motion - based and spatiotemporal segmentation are analyzed and compared with the emphasis on analysis of spatiotemporal segmentation algorithms based on 3d region growing

    本文以視頻對象分割技術為研究課題，首先介紹視頻分割相關的理論與技術，然後對現有的基於運動和基於時空域相關兩大類分割演算法進行對比研究，並把重點放在基於3d區域生長的時空域分割演算法的分析上。
  12. Proceeding with several key problems about spatiotemporal segmentation, this paper discusses the generation and distribution of seeds in 3d region growing, provide the similarity measurement between pixel and volume, design the post processing and construct spatiotemporal data structure to support the algorithm. homogeneous video components with similar color feature are obtained

    從時空域分割要著重解決的幾個關鍵問題入手，本文探討了3d區域生長的種子分佈和生成方法，給出了區域生長過程中的像素和元素之間的相似度準則和后處理過程，並構建了相應的時空域數據結構來支持生長演算法的進行。
  13. Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target

    論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。
  14. Shadow path mark segmentation method based on region - growing for intelligent vehicle

    基於區域生長的智能車輛陰影路徑圖像分割方法
  15. 2. develop an improving small region growing method to solve the misclassification evocated by blur boundary between liver and adjacent organs. 3

    提出小區域增長演算法，以解決由於肝臟與相鄰器官的邊界模糊而引起的所謂誤分現象。
  16. So this paper bring about a new algorithm named of region growing method for finding the voxels, applying the new algorithm in reconstructing model will speed up the process

    基於這一點，論文中提出了一種基於區域增長的邊界體素搜索策略，大大提高了三維模型的重建速度。
  17. The author digs into various phase unwrapping algorithms and gives a thoroughly compare through analyses and simulation. these algorithms involve branch - cut algorithm, region - growing algorithm, minimum discontinuity approach algorithm, least - squares algorithm, minimum lp - norm algorithm and network - flow algorithm

    對二維相位展開問題進行全面和詳細的論述，重點分析了分支截斷演算法、區域增長演算法、最小不連續性演算法、最小均方演算法、最小l ~ p范數演算法和網路流演算法的原理與實際應用。
  18. As the core technique of the method, the attention object extraction is implemented by incorporating a visual attention model with the seeded region growing that is a famous technique in the image segmentation

    在這個演算法中，核心技術? ?感興趣物體的自動提取，結合視覺感興趣模型和圖象分割中的區域增長技術來實現。
  19. After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed

    提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
  20. A region - growing version of watershed algorithm and its application to segmentation of image sequences

    區域生長型分水嶺演算法及其在圖像序列分割中的應用
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