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区域合并的英文

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"区域合并"怎么读用"区域合并"造句

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  • region merging

例句与用法

  • Image segmentation based on msp - roa edge detection
    边缘检测和区域合并的图像组合分割方法
  • Finally , the initial segmented regions are merged according to the region distance defined by colordistance and spatial adjacent information
    然后利用颜色和空间邻接关系确定的区域距离进行区域合并,直到满足所给的停止区域合并的规则为止。
  • At the same time , three region segmentation algorithms also are introduced , i . e . global - based segmentation algorithm , tree - based region find in rle map image , and statistic - based region feature computation algorithm
    同时在目标区域合并(分割)阶段,提出了基于全局扫描的分割算法、行程编码图中基于树的区域查找算法和基于统计的区域特征量计算方法。
  • Secondly , texture segmentation based on local binary pattern ( lbp ) texture descriptor is very time consuming . for one thing , we adjust the computing method of lbp , for another , set two merging threshold instead of only one
    第二,针对局部二进制模板纹理分割速度较慢的问题,本文一方面调整了模板算子的计算方式,另一方面将单一门限的区域合并改进为双门限合并。
  • First , the dsp board calculates optical flows ( the velocity field of an image ) based on the gradient method . next , the region of the moving object on the image is extracted from the optical flows using knowledge about the region of the object , such as region - merge arithmetic , region - connection arithmetic or clustering arithmetic . finally , the camera is controlled to keep the object in its field of view
    我们建立了一个基于tms320c6701的dsps系统,首先求解出基于梯度方法的光流场(原始图像的速度场) ,然后根据区域合并、区域连通或聚类算法等方法从光流场中抽取出运动目标区域,并计算出运动目标的速度矢量,进而通过云台装置控制摄像头的转动,使得运动目标始终位于摄像机的视野中,从而完成对复杂背景中单个运动目标的实时跟踪。
  • To the noise , singular point , non - face area and the division of face area , this dissertation proposes filter , segmentation by clustering and area combination methods respectively ; to the detection of oriental faces in color images and complex context , the author combines the skin - color model based face rough detection and the ellipse based face location methods to one , then verify the candidate face by abstracting face features . experiment indicates that this algorithm is feasible and highly efficient
    针对类肤色区域中的噪声、奇点、非人脸区域以及人脸区域被割离的情况,本文提出了滤波、聚类分割、区域合并等算法;针对人脸非人脸区域的的分割,修改并采取了椭圆模板定位的方法;针对“候选人脸”中出现的“虚警”问题,首先提取人脸面部特征,然后采取人脸验证算法加以验证。
  • Second , some popular spatial and temporal technology about the vop segmentation were introduced . third , a modified watershed segmentation preprocessed by multi - scale morphological filters and post processed with improved fast region merging methods was proposed to obtain a good spatial segmentation
    在第三章中,介绍了分水岭变换的定义、优缺点,并研究了在传统分水岭的基础上利用数学形态学滤波器缓解算法中过分割现象的改进算法,并给出一种能获取全局最优解的区域合并方法。
  • Abstract : according to the system of regionalization of natural disaster presented by authors , this paper produces the basic units of natural disaster from the physical geographical elements . combined with the natural disaster database and the method of bottom - up merging , 110 natural disaster areas is achieved . furthermore , by using the top - down dividing method , the comprehensive regionalization scheme of agricultural natural disaster is achieved , with 5 natural disaster realms , 23 natural disaster regions and 110 natural disaster areas
    文摘:根据作者提出的全国农业自然灾害综合区划的思路,以自然地理要素形成基本单元,结合自然灾害报刊数据库系统,运用自下而上区域合并的方法,得到了全国自然灾害区划小区;运用自上而下区域划分的方法,将全国农业自然灾害划分为5个大区、 23个区和110个小区,得到了全国农业自然灾害综合区划方案
  • Secondly , programmed the image processing arithmetic code which include the bottom arithmetic for the general condition comprises threshold division , region combination and informate and the middle level arithmetic for the given task comprises detecting the line dation creirection according to the hough transform in order to fix on the hole ’ s azimuth angle , detecting the aiguille tip position according to the image movement according to the environment and the image format
    然后,根据目标环境要求和摄像机采集图像格式,开发了图像处理算法程序。图像处理算法包括底层算法和中层算法两部分,底层算法针对通用情况,包括阈值分割、区域合并和信息生成。中层算法针对具体任务设计,包括利用hough变换检测棱线的方向,从而确定圆孔的方位角和利用基于图像运动检测钻头尖端位置。
  • In this paper , the conception and classification of image segmentation technology are first introduced , and then , the key point , the advantages and disadvantages of different methods are proposed . with the models of video series , the motion - changed regions testing theory are introduced . after the discussion and analysis of regional growth , regional separatism and regional integration - separatism three major region - based segmentation algorithms , this paper suggests an approach for image segmentation by combining region based on tree - branches growing method
    本文首先介绍了图像分割技术的概念、分类并指出了其中的关键技术及不同方法的优缺点,然后围绕视频序列的模型,介绍了分割预处理的运动变化区域检测的相关理论,接着重点研究了图像分割技术中基于区域的分割算法,在讨论和分析了区域生长、区域分裂、区域合并分裂三种主要区域分割技术的基础上,提出了基于树状结构的区域生长改进算法,实验结果证明了本文所提出算法的有效性和可行性,最后介绍了图像分割算法的评价体系并提出了算法的不足和改进方向。
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