资源列表
matlab实现维纳滤波器
- matlab实现维纳滤波器，实现了自己的deconvwnr函数，对图像进行维纳滤波
最小二乘法圆拟合方法1
- 通过对图像中值滤波处理，二值化，边缘查询，找出图像中源所有的边缘像素点，然后利用最小二乘法对这些边缘点进行找圆，计算出圆的坐标和半径。(By means of median filtering, binarization and edge query, all edge pixels in the image source are found, and then the least square method is used to find the circles of these edge p
何凯明经典去雾算法
- 何凯明图像去雾算法源代码实现，基于暗通道先验的算法，非常有效果(He Kaiming Image Defogging Algorithms Source Code)
GST-for-small-target-detection-master (1)
- 本代码使用MATLAB编写的基于GST模型的红外弱小目标检测代码(% This source code is for infrared small target detection method based on Generalized Structure Tensor (GST). % If you use this code in your publications, please cite:)
利用遗传算法来进行图像分割
- 基于遗传算法的图像分割，内有详细注释，可跑通(Image Segmentation Based on Genetic Algorithms with Detailed Annotations)
PCShow
- 三维点云的伪彩色显示示例。自带5片点云用于测试。可平移、旋转、缩放视图；可单色、伪彩色显示点云。(An example of pseudo-color display of three-dimensional point clouds. It has five point clouds for testing. It can translate, rotate and zoom views; it can display point clouds in monochrome and pseudo
7941976bosukuandai11
- 用DC加权的方法来进行宽带波束形成，通过波束形成，能够发现DC方法对宽带信号有着比较良好的效果。(Broadband Beamforming Using DC Weighted Method)
Denoising-Custom-master
- 对微震图像进行去燥，利用同步压缩连续小波变换进行自动微震去噪和起始检测。(Denoising the microseismic image,automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform.)
zhongyao
- 双目立体匹配一直是双目视觉的研究热点，双目相机拍摄同一场景的左、右两幅视点图像，运用立体匹配匹配算法获取视差图，进而获取深度图。而深度图的应用范围非常广泛，由于其能够记录场景中物体距离摄像机的距离，可以用以测量、三维重建、以及虚拟视点的合成等(Binocular stereo matching has always been a research hotspot in binocular vision. Binocular cameras take left and right view ima
图像融合
- matlab 图像融合 三种融合算法 经典例子(Classical examples of three fusion algorithms for MATLAB code image fusion)
densecrf-master
- 应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:\Program Files\Anaconda3\Lib\site-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the
基于matlab的条形码识别
- 基于matlab的条形码识别，亲测可用，请注意读取顺序和文件路径，也可以自己制作条形码，欢迎各位下载并使用。