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视频序列运动估计，补偿算法。还可实现背景渐变的运动图像中运动目标分割。希望对大有帮助。-video sequences motion estimation, compensation algorithm. Gradualism can achieve background of the image moving object segmentation. Hope to assist.
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这是一个基于非参数模型的背景减运动目标分割算法的VC++程序，自己编写的，上传与大家分享。-This is a non - parametric model based on the background by moving object segmentation algorithm VC procedures, the preparation of their own. Upload share with you.
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em算法求解混合高斯模型，适合图像处理中，对象分割-em algorithm Gaussian mixture model suitable for image processing, object segmentation
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基于ksw方法和改进遗传算法的图像分割，适用于单目标分割，效率和效果都不错，缺点是结果在一定范围内有些不稳定，遗传算法的通病-Ksw method and based on improved genetic algorithm for image segmentation, applied to single-object segmentation, the efficiency and effectiveness are good, the disadvantage is the result
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改进的高斯混合模型用于运动目标的检测和分割,利用C++和matlab混合编程.-Improved Gaussian mixture model for moving object detection and segmentation, the use of C++ and matlab programming mixed.
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图像分割\标识物体测量面积周长+图像分割\标识物体测量面积周长-Logo image segmentation object measurement area perimeter+ Logo image segmentation object measurement area perimeter
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基于区域生长,(区域增长)的目标分割方法,简单实用,易上手,m语言编写,易懂易用,没有调用内部函数,方便以后改写为c语言代码,请尽情享用-Based on regional growth, (regional growth) of the object segmentation method is simple and practical易上手, m language easy to understand and use, there is no call to internal functio
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本代码计算帧间光流场，通过阈值分割获得运动矢量，对当前帧进行补偿，配置差分后实现运动目标分割，解决复杂背景下运动目标的检测问题。-This code interframe optical flow field calculated by threshold segmentation to obtain motion vectors, to compensate for the current frame, after the implementation differential configu
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本文提出了一种基于方向可变滤波器的改进Hough变换方法。该方法首先利用方向可变滤波器检测出图像边缘以及边缘的方向特性，然后基于边缘点及其方向，通过改进的Hough变换得到圆心、半径。最后，将该算法应用于球类对象分割并得到较好的结果。-In this paper, a variable filter based on the direction of improving the method of Hough transform. The direction of the first to us
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一种运用边缘矢量场的图象分割算法得到连续的边缘信息并做跟踪.-This image segmentation utilizes an edge vector field (EVF) within the curve evolution framework by using both color and texture features.
The JSEG segmentation aims to achieve consistent segmentation and tracking res
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通过组合多种图像特征 ， 实现 了一种新的检测运动物体方法。 一方 面，组合 图像 的颜 色、梯度和纹理特征 ， 利用梯度和纹理信息对亮度变化不敏感的特性，提高运动物体分割的准确性 ；另一方面，使用图切割算法对物体／ 背景进行分割， 在不影响整体分割 结果前提下修 正局部判别错误 的像素点， 分割结果噪声少且稳定性强。
-A novel method is proposed to detect moving objects based on the linear combination of
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Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental
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基于区域融合的半监督的图像分割算法。首先在背景和前景手动设置初始分割标记，在迭代过程中不断通过区域融合操作获得最大相似度的区域，从而实现目标分割。-Regional integration based on semi-supervised image segmentation. First of all, in the background and foreground segmentation manually set the initial marking, in the iteration
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matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
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采用基于模糊连通度图像分割算法，对象进行分割。-Connectivity based fuzzy image segmentation, object segmentation.
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meanshift for color object segmentation
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video object segmentation based on accumulated frame differencing
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为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
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运动目标分割是视频处理中的一项基本且重要的任务,本文详细描述运动目标分割算法的研究及其嵌入式系统实现。-Research on Moving Object Segmentation and its Implementation in Embedded System.
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code for Unsupervised Joint Object Discovery and Segmentation in Internet Images
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