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一个简单的玫瑰花儿程序.rar
一个简单的玫瑰花儿程序.rar- A simple rose procedure rar
- 2023-07-19 16:25:02下载
- 积分:1
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处理位图的例子,老外些的
处理位图的例子,老外些的-handle bitmap example, some of the foreigners
- 2022-04-13 16:37:41下载
- 积分:1
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程序包括有维纳滤波,中值滤波,高斯变换,DFT变换等等图像滤波源代码...
程序包括有维纳滤波,中值滤波,高斯变换,DFT变换等等图像滤波源代码-Procedures include Wiener filtering, median filtering, Gaussian transform, DFT transform source image filtering, etc.
- 2023-03-17 14:15:03下载
- 积分:1
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BMP位图处理的源代码,非常好用
BMP位图处理的源代码,非常好用-bitmap BMP handling the source code, very handy
- 2022-09-20 00:35:03下载
- 积分:1
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winock编写的程序游戏
资源描述小游戏具体自看代码,可用于作业以及学生小项目开发
- 2022-03-16 10:48:28下载
- 积分:1
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Paintlib是移植可用于图像的加载、存储和处理。
paintlib是一个可移植的用于图像加载、保存和处理的C++类库。可从BMP, GIF, JPEG, PCX, PGM, PICT, PNG, PSD, TGA, TIFF和WMF文件中加载图像,且可保存为BMP, JPEG, PNG和TIFF格式。既可通过在过滤器类中执行过滤, 也可通过直接访问位图来进行图像处理。提供了完整的C++源码。-paintlib is a transplant can be used to image loading, storage and handling of the C library. From BMP, GIF, JPEG, PCX, PGM, PICT, PNG, PSD, TGA, TIFF, and WMF files to load images and the retention of BMP, JPEG, PNG and TIFF formats. Both filters through the implementation of category filters, are also available via direct access to Bitmap image processing. For a complete C source code.
- 2022-01-22 01:30:11下载
- 积分:1
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New drawing tools is absolutely non
最新画图工具 绝对无毒 绿色放心下载 本人测试了哦了 免费的-New drawing tools is absolutely non-toxic green rest assured that I tested to download a free, oh
- 2023-04-05 13:15:03下载
- 积分:1
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" VC++ implementation of digital image recognition process cases," one...
《VC++实现数字图像识别程序案例》一书源代码。有电子书但是没有光盘的人可以下载-" VC++ implementation of digital image recognition process cases," one source book. However, there is no CD-ROM e-book can download
- 2022-06-26 01:54:26下载
- 积分:1
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一个基于c++的区域生长算法程序,从种子点选取到生长规则的确定,很详细。...
一个基于c++的区域生长算法程序,从种子点选取到生长规则的确定,很详细。-C++-based region growing algorithm process, from seed selection to the growing point of identification of the rules in great detail.
- 2022-02-13 22:05:09下载
- 积分:1
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Introduction
Icasso is based on running FastICA several times (resampling). Ic...
Introduction
Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)
- 2022-03-11 21:21:55下载
- 积分:1