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水果识别系统
基于GUI实现水果识别系统，限一个图片内存在一种水果(Realization of fruit recognition system based on GUI)
- 2018-05-18 15:04:03下载
- 积分：1
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ff_transform
傅立叶变换，等距离采样，等角度采样，轮廓提取，形态处理(Fourier transform, equidistant sampling, in terms of sampling, contour extraction, morphological processing)
- 2021-04-08 09:29:00下载
- 积分：1
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docking_window_demo
这是一段视频分割的源代码 效果比较好 希望对大家有帮助(This is a video segmentation of the source code for the effect we hope to help)
- 2013-05-09 16:42:36下载
- 积分：1
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improved_sigma_filtering
改进lee滤波源码，里面有im是原图 nim是噪声图像
- 2012-04-21 21:36:03下载
- 积分：1
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matlab
利用MATLAB对图像边界内部的部分进行填充，以便后期对图像处理(Using MATLAB within the boundaries of the part of the image to fill, so that the latter part of the image processing)
- 2013-09-11 23:28:07下载
- 积分：1
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untitled
图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)
- 2021-02-04 17:59:57下载
- 积分：1
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Edge-Thinning
Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
- 2016-09-13 22:05:34下载
- 积分：1
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opencv Snake
说明： opencv中的一段 snake的代码, opencv snake,(A piece of Snake code in opencv, opencv snake,)
- 2019-06-13 10:10:47下载
- 积分：1
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US-denoising-and-segment
关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）(This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set))
- 2014-03-31 09:23:35下载
- 积分：1
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700977
反混淆直线 采用未加权的区域采样算法 效果很不错()
- 2018-05-27 14:24:12下载
- 积分：1
