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PCA01
主要用于图像处理等方面,用途比较广泛,现有将其用于盲检测(Mainly used for image processing, etc.)
- 2010-10-11 14:50:26下载
- 积分:1
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menu-driven
Menu driven
Choice 1: Accept info and store into appropriate objects.
Choice 2: Depending upon the number entered by the user on console fetch the details of the individual employees.
- 2014-12-04 14:06:39下载
- 积分:1
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characterdataappenddata
Retrieve the character data from the second child of the first employee. T.
- 2013-12-06 14:38:29下载
- 积分:1
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Multi-Wavelet111111
多小波分析工具箱,请大家分享,给与反馈,谢谢大家(Multiwavelet Analysis Toolbox, please share with you, give feedback, thank you)
- 2007-04-11 18:42:16下载
- 积分:1
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FormatDatalibsvm
用于libsvm数据转换,使得特征矢量按规定的方式转换(Libsvm for data conversion, making feature vector in accordance with the provisions of the mode switch)
- 2007-11-26 18:51:44下载
- 积分:1
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CAKF
容积卡尔曼滤波算法,可运行,与卡尔曼滤波算法比较,效果更好。(Volume Kalman filter algorithm can be run, compared with the Kalman filter algorithm, the better.)
- 2013-11-28 17:16:40下载
- 积分:1
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matlab
灰关联上的源代码,主要用于计算机使用,便于计算者进行灰关联计算。(matlab)
- 2009-03-14 10:30:24下载
- 积分:1
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zz
说明: MATLAB 边缘检测相关代码,里面包括多种方法,请朋友们根据自己实际情况选择方法。(Edge detection related MATLAB code, which includes a number of ways, please friends, the actual situation according to their own options.
)
- 2009-04-25 07:55:13下载
- 积分:1
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test_shearlet
包含剪切波变换(以拉普拉斯金字塔变换为尺度剖分),以及该变换的压缩感知重构测试应用程序。(Contains shear wave transform (Laplace pyramid transform for the scale subdivision), as well as the transformation of compressed sensing reconstruction test application.)
- 2021-01-11 04:28:49下载
- 积分:1
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Connected-Component-based-text-region-extraction
The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
- 2014-12-16 00:41:34下载
- 积分:1