fftchazhi

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)

实现数字图像水印DWT域的水印可以进行水印的嵌入与提取(Realization of digital image watermark embedding and extracting watermark in DWT domain for watermarking)

彩色图像的DWT变换及水印提取，可以成功实现(Color image DWT watermark embedding and extraction (attack))

三维点云包围盒精简算法，内包含点云数据与处理结果，直观可用，效果良好。(Three dimensional point cloud bounding box reduction algorithm, which contains point cloud data and processing results, is intuitive and available, and the effect is good.)

tsne 快速降维算法 效果好于PCA 算法(tsne fast dimensionality reduction algorithm is better than PCA algorithm)

本程序实现了提取图像中直线的功能。能够很好地提取出位于边缘上的直线段，其结果表示为两端端点坐标以及线段宽度(This program realizes the function of extracting the edge line in the image.The straight line segment at the edge can be extracted well, and the result is expressed as the end point coordinates and line segment width at both ends.)

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.)

进行图像去噪的小波变换源程序，多重小波分解(Image Denoising the wavelet transform source code, multiple wavelet decomposition)

采用canny算子加上lee滤波器对SAR图像进行去噪(canny algorithm and lee filter to aiti-noise SAR image)

数字图像处理之分水岭图像分割法matlab实现源码(Digital image processing of watershed image segmentation method to achieve source matlab)