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snr
求信噪比的MATLAB源代码 很实用的函数(Signal to noise ratio for the MATLAB source code is very useful function)
- 2008-06-19 11:28:15下载
- 积分：1
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snake
在MATLAB编程环境下，使用一种活动轮廓的方法实现图像分割的程序。(In the MATLAB programming environment, the use of an active contour method to achieve image segmentation procedures.)
- 2008-04-14 14:46:51下载
- 积分：1
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abc
八种图像置乱方法：希尔伯特变换、采样置乱、ZIGZIG置乱、等等等等(Eight kinds of image scrambling method)
- 2012-01-10 21:03:36下载
- 积分：1
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zhezhongThreshhold
说明： 比较硬阈值、软阈值法图像去噪，并提出折中阈值法去噪(Comparison of hard thresholding, soft thresholding image denoising, and put forward a compromise threshold denoising)
- 2008-10-06 14:53:19下载
- 积分：1
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Tp_images_Son
the best program to estimait your powr to use matlab in image and sound traitment
- 2011-12-19 22:46:02下载
- 积分：1
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SSIM (2)
说明： 基于matlab的ssim图像质量评价，验证还可以(Image quality evaluation)
- 2019-04-11 21:46:35下载
- 积分：1
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gjtxcl
内置虑镜功能，包括获取图像的属性，锐化，模糊，浮雕等功能．
可以缩放，优化图片．打开图片带预览功能,使用了gdiplus,能处理gif,bmp,jpg,png图片,处理速度也不错，呵呵,一直找图形格式转换的朋友就不需要东找西找了，它完全可以实现你的需求！
(Built-in lens into account features, including access to the properties of the image, sharpen, blur, emboss and other functions. Can be scaled to optimize picture. Open the image with the preview function, use the gdiplus, can handle gif, bmp, jpg, png images, the processing speed is not bad, huh, huh, graphic format conversion has been looking for friends do not need to look east and west, and it can achieve your needs!)
- 2010-12-30 12:59:32下载
- 积分：1
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multiobject_context
多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))
- 2013-11-30 17:52:13下载
- 积分：1
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fuliyebianhuan
能够成功实现傅里叶变换，包括32点 64点 128点 256点 512点 1024点。(Fourier transform can be successfully achieved, including 32 points 64 points 128 points 256 points 512 points 1024 points.)
- 2013-05-31 19:57:28下载
- 积分：1
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VisualSFM_windows_cuda_64bit
说明： 很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)
- 2019-05-16 16:00:52下载
- 积分：1
