搜索资源列表
Variational_Geodesic_Active_Contour
- 为了解决测地线活动轮廓模型分割有凹边界的对象时，将可能陷入非理想局部极小的缺点，自适应测地线活动轮廓模型被提出。新的模型可以通过添加在原始模型的加速度项调整曲线基于曲线和图像的梯度的曲率的演变速度。此外，为了消除噪声或伪边缘的影响，新的前处理Sobel算子结合高斯滤波器和测地线活动轮廓模型梯度的计算方法。-In order to solve the shortcoming of Geodesic Active Contour model that would possibly sink into
SIFT-HARRIS-Gaussian
- OPENCV实现sift目标识别匹配，harris，sift算子焦点检测与高斯法图像分割，vs2013-OPENCV achieve sift target identification match, harris, sift operator focus detection and image segmentation Gauss law, vs2013
2k
- 高斯处理视频并跟踪运动做前景背景分割，利用高斯处理的视频进行运动目标跟踪。-Gaussian process video do prospects background segmentation and track movement
111
- 高斯处理视频并跟踪运动做前景背景分割-Gauss processing video and tracking the movement to do the foreground background segmentation
ImagePyramidApplications-master
- 图像的高斯金字塔分解，可以用来做图像分割和图像的压缩等，是好用的。-Image Gaussian pyramid decomposition, can be used for image segmentation and image compression, it is easy to use.
waveform-k_medoids
- 数据挖掘作业：编程实现PAM对部分waveform数据集中加20 的高斯噪声， 同时对一副噪声图像进行分割。-Data mining job: programming on the part of the PWM waveform data sets plus a 20 Gaussian noise, While a noise image segmentation.
gaussian
- 运用高斯混合模型，识别车辆，分割车辆，检测车流量，运算很快，效果不错-Using the gaussian mixture model, identification of vehicles, vehicle segmentation, detection and traffic operation soon, effect is good
Moving-Object-Detection
- 混合高斯模型，目标检测，目标分割，区域标记-Gaussian mixture model, target detection, target segmentation, region
background-segmentation
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg221.【高斯处理视频并跟踪运动做前景背景分割】bgfg2-Gauss processing video and tracking motion foreground background segmentationGauss processing video and tracking motion foreground background segmentation
Color-recognition-of-traffic-signs
- 导入一幅含有交通标志的图像，可以对该图像添加高斯、椒盐等噪声并进行中值滤波、维纳滤波、小波去噪等，最终目的可以实现对图像的RGB、HSV以及SVF的颜色分割。-Importing a traffic sign containing the image, you can add a Gaussian, salt and pepper and other noise on the image and median filtering, Wiener filtering, wavelet de-noi
test2.cpp
- 首先基于高斯模型进行目标分割，接着将分割出的前景信息作为跟踪目标，实现前景目标的实时跟踪。-Firstly, the target segmentation is performed based on the Gaussian model, and then the foreground information is used as the tracking target to realize the real-time tracking of the foreground target.
sanlang
- 中介真值程度度量，基于中介真值程度度量的图像分割利用最小二乘算法实现对三维平面的拟合，高斯白噪声的生成程序。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Least-squares algorithm to fit a three-dimensional plane,
Gaussian-filter
- 1.图像直方图均衡化教程，实现对图像的对比度这增强处理，便于后续图像分割 2.对图像实现高斯高通滤波，并利用canny算法实现对边缘的提取-1 image histogram equalization tutorial to achieve the image contrast enhancement processing, easy to follow image segmentation 2 to achieve the image of Gauss high pass filter
benhang
- 高斯白噪声的生成程序，粒子图像分割及匹配均为自行编制的子例程，快速扩展随机生成树算法。- Gaussian white noise generator, Particle image segmentation and matching subroutines themselves are prepared, Rapid expansion of random spanning tree algorithm.
ConsoleApplication1
- VS2013+OPENCV2.4，图像高斯滤波阀值分割形态学处理，提取轮廓用来进行匹配，可知程序运行时间-VS2013+OPENCV2.4, Gaussian filtered image segmentation threshold morphological processing, contour extraction for matching, it is understood program runtime
hai-V5.6
- 高斯白噪声的生成程序，粒子图像分割及匹配均为自行编制的子例程，cordic算法的matlab仿真。- Gaussian white noise generator, Particle image segmentation and matching subroutines themselves are prepared, cordic matlab simulation algorithm.
cheliangjishu
- 这是我的大作业，作用是测试车流量并计数，使用高斯模型对车辆进行定位分割，已验证成功内附测试视频-This is my big job, the role is to test the traffic flow and counting, the use of the Gauss model of the vehicle positioning and segmentation, has been verified successfully included test video
platelocate2
- 车牌处理，进行高斯模糊、sobel算子以及阈值分割(Plate processing, gaussian blur, sobel operator and threshold segmentation)
DoG filters
- 高斯差分滤波器，主要用于边缘特征提取，用于模式识别中的分割预处理(Gauss differential filter, which is mainly used for edge feature extraction, is used for segmentation preprocessing in pattern recognition)
17428703Find_Lips_in_YCbCr
- 通过高斯肤色模型的建立，分割出人脸区域，接着，结合人脸几何特性筛选出人脸区域，依据嘴巴的颜色同人肤色的其它部位相比较，有着明显的不同，从而建立嘴巴模型，找出了嘴巴的特征部位。(Based on the Gauss model of skin color segmentation, face region, and then combined with face geometric characteristics of selected face region, on the basis of o