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matlab练习及答案
关于使用matlab进行医学图像处理的练习题，内附答案(About the use of MATLAB medical image processing exercises, containing the answer)
- 2017-09-23 23:41:17下载
- 积分：1
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Sparse-Coding-and-Dictionary
对图像稀疏编码和字典学习有个大致的了解，以及当前的研究现状(Sparse Coding and Dictionary)
- 2012-12-12 15:55:16下载
- 积分：1
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生物特征识别技术手指静脉识别技术_余成波_代码
手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关代码(Finger vein pretreatment, image segmentation, vein segmentation, filtering and denoising, thinning and other related codes)
- 2020-06-20 07:00:01下载
- 积分：1
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matlab-SSIM
图像质量评价经典算法，ssim算法评价图像质量好坏程度的度量(Image quality assessment of the classical algorithm, SSIM algorithm.A measure of the degree of image quality )
- 2021-04-26 15:08:45下载
- 积分：1
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Activeontours
region wise image segment
- 2018-02-06 16:00:46下载
- 积分：1
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dct
基于离散余弦变换实现图像压缩。程序可以直接运行。(Image compression based on discrete cosine transform.)
- 2017-11-08 13:17:17下载
- 积分：1
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close all
说明： 小波变化是对傅里叶变换和短时傅里叶变换的一个突破，其改变就在于，将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)
- 2020-06-26 16:29:04下载
- 积分：1
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lee-frost-kuan
SAR图像的去噪，包含lee滤波器，frost滤波器，kuan滤波器，并且自己编写的信噪比函数(SAR image denoising, including lee filter, frost filter, kuan filter, and I have written a function of SNR)
- 2020-10-20 21:07:24下载
- 积分：1
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image-processing
应用傅立叶变换对图像处理，实现查看图像的功率谱，以及功率谱经过巴特沃斯高通、低通和高斯高通、低通滤波器后图像的功率谱，再把功率谱还原为图像的功能。(Fourier transform for image processing, see the image of the power spectrum, and the power spectrum after Butterworth high-pass, low-pass and high-pass Gaussian low-pass filter of the image after power spectrum, and then restore the power spectrum of the image.)
- 2020-10-30 16:09:56下载
- 积分：1
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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )
- 2012-10-30 16:17:30下载
- 积分：1
