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fenkua
超分辨率中要使用的分块重叠及恢复，任意像素重合，超简单！(Super-resolution block overlap and recovery, to use in any pixel overlap, super easy!)
- 2013-09-13 11:46:00下载
- 积分：1
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wenli
分析了纹理特征提取方法，特别是灰度共生矩阵的方法和
Gabo:小波矩的方法。并在这两种方法的基础上提出了综合灰度共生矩阵和
Gbaor小波矩的纹理特征提取方法并用于图像检索。
(matlab)
- 2010-01-20 12:15:39下载
- 积分：1
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hongmo3
可以看到圆心坐标和半径参数，在坐标中画出这个圆，编写画圆函数(You can see the center coordinates and the radius parameters, draw the circle in the coordinates, write the function to draw the circle)
- 2019-04-01 14:11:36下载
- 积分：1
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OtsImageCtl.java
A Image converting Utility to scale the images
- 2012-07-19 18:23:14下载
- 积分：1
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Images-denoising--based-on-wavlet
从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)
- 2013-11-22 15:55:18下载
- 积分：1
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superpixels.tar
超像素就是把一幅原本是像素级(pixel-level)的图，划分成区域级(district-level)的图。可以将其看做是对基本信息进行的抽象(A superpixel is a plot of a pixel level, which is divided into a regional level. Think of it as an abstraction of basic information)
- 2017-12-05 15:13:23下载
- 积分：1
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fingerprint-classification2
指纹分类是指纹准确识别的前提，该程序是指纹分类源码(Fingerprint classification is a prerequisite to accurately identify the fingerprint, fingerprint classification code of the program is)
- 2020-12-23 16:29:08下载
- 积分：1
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3D_Moment_Invariant
说明： Hu的七个不变矩在图像匹配检索中适用广泛。本代码仅计算图像间Hu的七个矩的D2大小，直观的了解Hu矩的应用(seven moment invariants in image retrieval in the application of broad match. Only the calculation of the code between the image of the seven Hu moments D2 size, intuitive understanding of the application of Hu Moment)
- 2009-07-30 10:34:45下载
- 积分：1
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hog.svm
说明： 可通过Hog和svm实现小狮子的分类，将其分为两类(The classification of small lions can be realized by hogs and SVM, which can be divided into two categories)
- 2021-04-26 16:18:45下载
- 积分：1
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rbm
深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian,
and multinomial inputs (still in development).
Supports binary and noisy rectified linear units (NReLU) in the hidden layer.
Supports joint modeling of binary and multinomial variables for classification.)
- 2014-05-08 10:57:43下载
- 积分：1
