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matlab 迭代法求取图像阈值,用于分割图像背景与目标图像-strike iterative method matlab image thresholding for image segmentation image background and objectives
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。图像分割算法中最大类间方差法(OTSU)实现图像二值化,可以将图像分为目标类和背景类,便于后续处理。-. Image segmentation algorithm Otsu method (OTSU) for image binarization, image can be divided into the target class and background class, easy to subsequent processing.
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将彩色图像通过HSI通道分离,在单通道内区域分割,再将数据重叠在一起,有效的分割目标与背景-The color image through HSI channel separation in a single channel segmentation, then the data overlap, effectively dividing the target and background
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运动目标跟踪在工业过程控制、医学研究、成像制导等领域具有重要的实用价值。目前的研究多基于背景静止的情况,对背景发生移动的情况研究较少。提出了一套完整的移动背景下的目标跟踪算法,首先使用基于互信息的方法配准序列图像的背景。然后使用差分的方法进行运动区域检测,并将其与图像分割技术相结合,得到目标跟踪模板。目标的跟踪基于Kalman滤波的预测,其匹配过程仍基于互信息理论,实验结果证明:该算法具有较高的计算效率和准确性,应用前景广泛。-it is of important practical value
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了适应跟踪过程中目标光照条件的变化,并对目标特征进行在线更新,提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合,同时结合增量线性判别分析对目标进行跟踪的算法.跟踪开始前,为了获得比较准确的目标描述,使用混合高斯模型和期望最大化算法对目标进行分割;跟踪过程中,通过蒙特卡罗方法对目标区域和背景区域进行采样,并更新特征空间参数.得到目标和背景的最优分类面;最后使用粒子滤波器结合最优分类面对目标状态进行预测.通过光照变化的仿真视频和自然场景视频的跟踪实验,验证了文中算法的有效性.-Trac
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基于vs2008和opencv2.4.2的图像分割程序,该程序实现从给定图像中分割出前景ROI并显示分割后的结果。包含矩形窗口分割和掩码图像分割两种模式,采用掩码图像分割时,按Ctrl和鼠标左键添加背景,按Shift键和鼠标左键添加前景-Image segmentation based on vs2008 and opencv2.4.2 program, the program implementation from a given image segment the foreground RO
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以去除复杂背景的病害叶片的病斑图像分割,经典的otsu法。-To remove complex background disease leaf lesion segmentation, classic otsu France.
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利用基于直方图的自适应阈值方法实现分割前景与背景-Use histogram-based adaptive threshold segmentation method to achieve the foreground and background
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车牌的定位与分割,能不复杂的背景下同时定位多个车牌-License plate location and segmentation, can not locate the complex background of multiple plates simultaneously
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图像分割的两种有效方法,阈值分割和区域生长。其中,阈值分割适合目标区域与其背景在灰度特性上的差异比较大情况。另外,效果较好的区域生长法可以为大家提供参考-Two effective methods of image segmentation, thresholding and region growing. Among them, thresholding suitable target region and its background in grayscale characteristics
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he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/
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a novel algorithm for fast tracking of generic objects in videos. The algorithm uses two components: a detector that makes use of the generalised Hough transform with pixel-based descr iptors, and a probabilistic segmentation method based on global m
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提取糖尿病视网膜病变眼底图像上硬性渗出。将彩色图像转为灰度图,对灰度图进行形态学处理、去背景、阈值分割,最终将原图上的硬性渗出区域用绿色标记出来。-this word is to extrac the hard exudates on diabetic retinopathy fundus image. The color image to grayscale on grayscale morphological processing to the background, threshold s
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Matlab的运动目标分割 车辆检测 平均建模背景差分-Matlab moving object segmentation of vehicle detection modeling background difference on average
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复杂背景下车牌定位算法的研究,灰度化,二值化,按颜色特征分割出车牌-Research on complex background plate positioning algorithm, graying, binarization, characterized by color segmentation of license plates
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GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理(颜色)信息和边界(反差)信息,只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大,分割的效果不好;不过,这种情况下允许手工标记一些前景或背景区域,这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
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自动阈值法和otsu两种方法对图像进行背景和前景的分割。-Automatic threshold method and otsu two kinds of methods for image segmentation of background and foreground.
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利用K均值进行图像分割,无需利用“苹果为红色”这个先验知识,而只需利用图像本身的特征——前景与背景区别较明显-The use of K-means image segmentation, without the use of " red apple" This a priori knowledge, and simply use the characteristics of the image itself- the more obvious differences betwe
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帧间差分法:一种比较简单的目标分割方法,在静态背景下,先通过视频序列建立相应的背景图,然后利用当前图像与背景图像的差分来检测运动区域,并进行膨胀、腐蚀等操作,从而提取出运动目标。-Frame difference method: a relatively simple object segmentation, in the static context, first established by video sequences corresponding background image, an
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图像背景分割,基于迭代法,可应用于多目标阴影分割-Background image segmentation based on iterative method can be applied to multi-objective shadow segmentation
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