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2下载：
图像的重心区域检测 matlab程序实现
可以检测重心区域并设置成希望颜色，对单景物背景图像效果极佳-regional focus image detection Matlab program can detect regional focus and set hope that the color of single features excellent background images
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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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图像预处理算法。包括中值滤波，形态学滤波，二值化处理及图像背景校正。,Image Pre-processing algorithm. Including median filtering, morphological filtering, binarization image processing and background correction.
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处理视频跟踪系统中的图像跟踪，在一个复杂的背景下，不受背景震动和其他因素影响，效果还不错,Video tracking system deal with the image track, in a complex background, free from background vibration and other factors, the effect of good
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图像融合的程序，对前后背景的两幅图像进行较好的融合。,Image fusion procedures, the background of the two images before and after the better integration.
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用遗传算法解决了图像分割问题，将图像中的像素按灰度值用域值M分为两类图像，一类为目标图像，另一类为背景图像，经过几十次迭代后有助于缩小检索范围-Using genetic algorithms to solve the image segmentation problem, the image pixel gray value according to the value of M is divided into two categories with the domain images, on
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运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点-Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better resul
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图像抠图是将图像的目标物体从背景图像分割出来的技术，这段代码是用MATLAB实现的一段抠图的代码-Image matting is the image of the target object from the background image segmentation techniques, this code is implemented using MATLAB code section of matting
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该视频是在静态背景下利用背景减除法对运动目标进行检测，图像为二值化后的图像。-The video is in the static context of the use of background subtraction method to detect moving objects, images for binarization image.
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基于图像的条形码识别程序（识别EAN13码），只要条形码的背景部分是纯色，程序就能有相当强的鲁棒性。-Image-based bar code recognition program (recognize EAN13 code), as long as the background of the bar code is solid, the program can be quite strongly robust.
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是一个实用的抠图软件，软件很小，对图像的前景和背景分离效果很好-Matting is a practical software, software is very small, the image foreground and background separation worked well
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边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including
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该程序首先把rgb图像转化为XYZ空间，然后在XYZ空间进行一些阈值找到黄色的底色车牌，这是从国外的车牌识别程序，但不明白那些阈值为什么要那么设，用的是什么原理？
还有一个疑问就是，这个程序对于输入的车牌有时候找到的是车牌的底，有时候是车牌的数字。一个是黄色，一个是白色。真不知道怎么找的。-The program first rgb image into XYZ space, and then in the XYZ space to some threshold to find a yel
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用matlab实现不规则光照下自适应阈值的前景背景分离算法。文件里面附测试图像。-Matlab implementation to use irregular light of the prospects for adaptive threshold background separation algorithm. Test image files attached inside.
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对所采集的图像进行二值化，将图像划分为物体和背景两个部分，然后对二值化后的图像进行细化。-Collected on the binary image, the image is divided into two parts, objects and background, and then after binarization image refinement.
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边缘提取算法提取细胞轮廓 适用于前景背景反差巨大-An object can be easily detected in an image if the object has sufficient
contrast from the background. We use edge detection and basic morphology
tools to detect a prostate cancer cell.
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The study of SAR (Synthetic Aperture Radar) image formation using MATLAB it is explained in the following project. The main to use MATLAB in this project was the most important thing to choose it. As MATLAB it is one of the most tools used by enginee
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将前景与背景的图像融合，程序有效，图像为彩色合成，另附其他融合算法(The fusion of foreground and background images is effective, and the image is color synthesis.)
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本课题为基于MATLAB的不变矩答题卡识别。可识别学号，学科，答案，并进行分数统计，以及判断是否及格。后台可设置标准excel答案。经过灰度变换形成灰度图像、二值化处理、图像滤波、边缘检测、hough变换等预处理。带GUI交互式界面。(This topic is based on MATLAB moment invariant answer card recognition. Can identify student number, subject, answer, and carry out
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MATLAB答题卡识别（GUI，论文）
本课题为基于MATLAB的不变矩答题卡识别。可识别学号，学科，答案，并进行分数统计，以及判断是否及格。后台可设置标准excel答案。经过灰度变换形成灰度图像、二值化处理、图像滤波、边缘检测、hough变换等预处理。带GUI交互式界面。(Matlab answer card recognition (GUI, paper)
This topic is based on MATLAB moment invariant answer card recogni
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