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大律阈值

于 2019-03-27 发布

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下载积分: 1 下载次数: 2

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说明：采用大津阈值法检测车道线，效果还可以，有需要的可以看看(Using the Dajin threshold method to detect the lane line, the effect is still good, you can see if you need it.)

文件列表：

新建文件夹, 0 , 2007-06-14
新建文件夹\djxx.m, 746 , 2007-03-14
新建文件夹\hough.m, 1066 , 2006-12-07
新建文件夹\houghlines.m, 1094 , 2007-01-18
新建文件夹\houghpeaks.m, 1091 , 2006-12-07
新建文件夹\houghpixels.m, 310 , 2006-12-07
新建文件夹\readme.txt, 398 , 2007-06-14
新建文件夹\road.bmp, 169270 , 2007-06-14
新建文件夹\road0.bmp, 183094 , 2007-01-31
新建文件夹\sobell.m, 1244 , 2007-03-27
新建文件夹\zong.m, 488 , 2007-01-22
www.pudn.com.txt, 218 , 2007-06-04

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add_score
在图像中加入某个分数值（int），然后检测这个分数，要求在图像受到攻击时能有效（100％）提取这个值(In the image by adding a Score value (int), then detection of the scores, the requirements in the image can be attacked effectively (100) extraction of this value)

2007-07-23 16:41:35下载

积分：1
ImageRegistration
基于边缘特征的图像配准算法源码基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域：（1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究；（2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合；（3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等；（4）计算机视觉，可用于目标定位、自动质量控制等；（5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)

2009-03-19 13:17:58下载

积分：1
chang-detection
对两幅遥感图像进行变化监测，先求得差值图像，然后用FCM聚类方法分成变化类和不变类(On two remote sensing image change detection, the first difference image is obtained, then FCM clustering into the same category and class changes)

2016-07-02 09:24:19下载

积分：1
cvpr09-(matlab)
何凯明的基于暗原色先验的去雾代码，去雾效果很好(Kaiming dark colors based on a priori defogging code defogging good effect)

2016-02-13 15:14:54下载

积分：1
ErgQ
采用四元组进行图像融合质量评价的matlab程序，包括原文paper(Four-tuple image fusion matlab quality evaluation procedures, including the original paper)

2008-04-15 23:35:42下载

积分：1
EdgeDetection
说明：四种算子(sobel,prewitt,roberts,marr)进行图像边缘检测的matlab源码.(Operators of four (sobel, prewitt, roberts, marr) image edge detection matlab source.)

2009-08-19 21:43:46下载

积分：1
demoBagSVM
一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

2013-09-03 10:44:56下载

积分：1
1
说明：针对散焦图像编写的复原程序，复原效果不错，会产生振铃效应！(For the preparation of defocused image restoration program recover good results, will produce ringing effects!)

2014-05-06 21:14:36下载

积分：1
Image-Restoration-by-total-variation
基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错！！附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)

2013-08-30 22:13:45下载

积分：1
NewRotateImage
能够很好的对图像的倾斜进行矫正，速度上也较其他算法快。(Can be very good for the image of the tilt correction, speed is also faster than other algorithms.)

2008-07-17 21:48:10下载

积分：1

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