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image-restoration
对比五种模糊图像复原算法，包括：维纳滤波算法、约束最小二乘滤波算法、Richardson-Lucy（RL）算法、循环边界算法和最优窗算法。(introduces the five kinds of image restoration algorithms, including wiener filtration, constrained least squares filtering, Richardson-Lucy, cyclic boundary algorithm and optimal window algorithm.)
- 2015-08-27 01:47:32下载
- 积分：1
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test_plot_time
IDL编写的以时间为变量的散点图代码,值得新手学习(IDL prepared time-variable scatter plot code, novice worth learning)
- 2016-04-24 04:49:00下载
- 积分：1
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拉普拉斯锐化（边缘检测）
对图像进行处理，利用拉普拉斯锐化进行边缘检测。(The image is processed and the edge is detected by Laplasse sharpening.)
- 2018-10-24 16:16:16下载
- 积分：1
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Regiongrowingmethod
区域生长法获取图像边界 必须有种子 可以有很多方法 这里直接鼠标点击(Region growing method to obtain the image the border must have a lot of methods of seed can have a direct mouse click here)
- 2009-04-06 23:23:00下载
- 积分：1
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otsu
otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好(otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better)
- 2020-10-31 15:59:55下载
- 积分：1
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192168291092007531155683305865
Image Watershed Segmentation图像边缘提取(Image Watershed Segmentation Image Edge Detection)
- 2007-08-11 09:18:48下载
- 积分：1
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LCV
说明： 这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)
- 2011-03-17 17:00:04下载
- 积分：1
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total8bian
初步的代码，只保存边界的声波逆时偏移 RTM
- 2013-09-16 21:22:17下载
- 积分：1
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vc-driven-camera-capture-images
该文档的主要功能就是利用vc编写一段代码实现摄像头采集图像。(The main function of the document is vc write a piece of code to achieve the camera capture images.)
- 2013-04-02 10:43:48下载
- 积分：1
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ssim_index
基于相似度的图像质量评价算法Structural SIMilarity (SSIM) index的实现。(This is an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Please refer
to the following paper:
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image
quality assessment: From error visibility to structural similarity"
IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612,
)
- 2009-06-06 17:19:40下载
- 积分：1
