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卷积神经网络去雾
说明： 该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)
- 2021-04-19 15:08:51下载
- 积分：1
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decon
基于最小相位雷克子波反褶积的matlab程序，有脉冲反褶积，最小平方反褶积和预测反褶积(Matlab program based on the the Leike Zi wave pulse deconvolution)
- 2012-05-25 13:56:49下载
- 积分：1
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fm_gui_v2
基于傅里叶梅林变换亚像元图像配准程序，可以运行。(Fourier Mellin transform based sub-pixel image registration process, you can run.)
- 2011-04-24 16:00:32下载
- 积分：1
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superresolution_v_2.0
该代码实现序列图像配准和重建过程，包含多种算法，配准算法有keren,marcal等，重建算法包含了POCS凸集投影算法(The code sequence of image registration and renewal process, including a variety of algorithms, registration algorithms are keren, marcal etc. reconstruction algorithm contains POCS POCS algorithm)
- 2014-11-21 18:22:01下载
- 积分：1
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Code
利用彩色图像的处理方法和数学形态学方法，编程计算荔枝果实的质心点的图像坐标(The use of color image processing method and mathematical morphology, image coordinates programmed to calculate the centroid of litchi fruit points)
- 2016-01-14 02:26:49下载
- 积分：1
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SAR_edge_detection_matlab
一种比较实用的sar影像边缘检测算法，谢谢大家交流(A practical edge detection algorithm for SAR images. Thank you for your communication.)
- 2019-03-22 20:25:02下载
- 积分：1
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gaijinzhongzhilvbo
一种改进的快速加权中值滤波算法，较好的保留了图像的细节(Fast weighted median filtering algorithm, an improved and better retain the image details.)
- 2012-04-09 13:19:39下载
- 积分：1
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SVM算法
说明： SVM算法的线性分类，图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)
- 2019-07-03 10:34:56下载
- 积分：1
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fuliye
说明： 1. 对图像进行傅里叶变换。
2. 根据傅里叶变换的结果去除图像的竖条纹噪声。
3. 对图像进行傅里叶逆变换，得到分割图像。
(1. For the image Fourier transform. 2. According to the results of Fourier transform to remove the image of the vertical stripe noise. 3. Inverse Fourier Transform of the images obtained segmented image.)
- 2010-03-17 19:30:01下载
- 积分：1
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headCountCode
采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the scene is in motion. We
integrate human detection and tracking into a single framework, and in-
troduce a con rmation-by-classi cation method to estimate con dence
in a tracked trajectory, track humans through occlusions, and eliminate
false positive detections.)
- 2021-03-05 17:39:31下载
- 积分：1
