资源列表
lapulas1i
- 图像处理中的边缘检测和处理,保证图像恢复的噪声最小-image processing edge detection and processing, image restoration to ensure minimum noise
matlab121
- 图像处理中的边缘提取算子对图像边缘提取的应用和改进,-image processing from the brink operator Image Edge Extraction of the application and improvement
Matlab_VC++examples
- matlab /Vc++实例教程，十二章包括附录的相关代码都有。-Matlab / Vc example guides, including Chapter 12 Appendix relevant code.
thresh_tool
- matlab 图像处理中的 门限thresh的取定方法实例-Matlab image processing threshold thresh determined from the examples
matlab-examples1
- matlab 实用程序百例，汇集了大多数值运算，图像图像处理等实例。-Matlab utility hundred cases, gathers most value calculation, and image processing images as examples.
Fractal_Blizzard
- 由国内开发的一种分形几何演示软件，软件中涉及到大量的分形知识和原理，但不要求用户掌握具体的分形知识就可以操作本软件并欣赏精美的分形动画；-from the domestic development of a fractal geometry demonstration software, software relating to a number of fractal knowledge and principles. But not require users to have specific
Convert555to565
- 16位图像格式转换,555转565,delphi的这方面的资料不是很好找,不过俺还是找到了,大家一起分享-16 image format conversion, 555 to 565. delphi the information in this regard is not very good find, but I still find, share with everyone! !
16bitGray
- 最近做16 bit灰度图方面的东西,发觉这方面的资料不是很好找,传上一些我找到的资料大家一起分享!-recent 16 bit gray-scale map of things, has found that the information was not very good find, - I found some information to share with everyone!
raw2bmpDelphi
- 这是一个将raw图像转换为bmp图像的函数,最近做了个这方面的东东,发觉delphi的这方面资料很少!-This is a raw images will be converted to bmp image function, the recent months that the Eastern, The delphi found very little information in this regard.
MatlabMaps
- Matlab路网绘图代码，可以绘制路网图，自动加载路段长度信息-Matlab network mapping code, mapping the network map, automatic loading sections of the length of Information
finger-recong
- 指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。-fingerprint identification code. Thinking is entirely in accordance wi
Image6
- 自己写的，简单图像处理程序 含时域频域处理 -wrote it myself, simple image processing with time-domain and frequency domain processing