-
im_MSfilter
基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)
- 2009-06-11 16:45:22下载
- 积分：1
-
22164429182
能够很好的实现车牌定位的matlab源程序.但是不能实现车牌字符分割(Able to realize a very good source matlab plate positioning. But not license plate character segmentation)
- 2008-05-03 18:30:22下载
- 积分：1
-
gongji
对嵌入水印的图象进行不同的攻击
添加噪音，滤波，剪切，压缩，旋转45度(Watermark on the images embedded in a different attack to add noise, filter, shear, compression, rotating 45 degrees)
- 2009-05-12 22:31:37下载
- 积分：1
-
1
图像去雾基于暗原色先验去雾，何凯明算法的源代码改进，(Dark colors on the image to fog prior to fog, He Kaiming algorithm source code improvements,)
- 2013-10-15 21:25:22下载
- 积分：1
-
contoulet-fusion
基于contourlet的图像融合，低频分量在融合过程中使用加权平均的融合规则(Contourlet-based image fusion, the low frequency components in the integration process using the weighted average of the fusion rules)
- 2011-11-16 16:38:15下载
- 积分：1
-
lsbstegoprote-matlab
基于lsb的图像信息隐写算法 利用MATLAB实现(lsb-steganography)
- 2009-09-14 16:09:49下载
- 积分：1
-
py-faster-rcnn-master
图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)
- 2020-12-11 15:39:18下载
- 积分：1
-
Context-Aware-Saliency-Detection
目标检测，利用上下文关系 (object detection using context)
- 2011-07-13 19:54:21下载
- 积分：1
-
meanshift
一个外国人写的很好的meanshift聚类算法，有例程，可运行(Written by a foreigner meanshift good clustering algorithm, a routine can be run)
- 2020-06-26 19:20:02下载
- 积分：1
-
canny
canny边缘检测的步骤：
1，生成高斯核，与图像做卷积
2，计算梯度图像
3，非极大值抑制
4，双阈值法和连接边缘(Canny edge detection steps:
1, Generate Gaussian kernel, convolution with the image
2, calculate the gradient image
3, non-maximal inhibition
4, double threshold method and connect the edge)
- 2017-11-28 19:31:27下载
- 积分：1
