一个图像配准的小程序

为伊人而coding.

源代码/程序见文末附件

分享一下,虽然代码很乱,没有什么价值

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Thanks for 许前辈,Visual FreeCode前辈 !

楼主专业啊，Lena 的图片，呵呵

奇怪,之前还有一条评论,难道被和谐了:)

奇怪,之前还有一条评论,难道被和谐了:)

看来JavaEye搞图像处理的太少了，我这么经典的回复竟然被评为差贴，俺给科普一下。


The picture's history was described in the May 2001 newsletter of the IEEE Professional Communication Society, in an article by Jamie Hutchinson:

“ Alexander Sawchuk estimates that it was in June or July of 1973 when he, then an assistant professor of electrical engineering at the University of Southern California Signal and Image Processing Institute (SIPI), along with a graduate student and the SIPI lab manager, was hurriedly searching the lab for a good image to scan for a colleague's conference paper. They got tired of their stock of usual test images, dull stuff dating back to television standards work in the early 1960s. They wanted something glossy to ensure good output dynamic range, and they wanted a human face. Just then, somebody happened to walk in with a recent issue of Playboy.
The engineers tore away the top third of the centerfold so they could wrap it around the drum of their Muirhead wirephoto scanner, which they had outfitted with analog-to-digital converters (one each for the red, green, and blue channels) and a Hewlett Packard 2100 minicomputer. The Muirhead had a fixed resolution of 100 lines per inch and the engineers wanted a 512 × 512 image, so they limited the scan to the top 5.12 inches of the picture, effectively cropping it at the subject's shoulders.
”

Lenna was not the first Playboy magazine image to be used to illustrate image processing algorithms. Lawrence G. Roberts used a 1960 Playboy image, with permission and attribution, in his 1961 MIT master's thesis on image dithering.[2]

群众是盲目的,不要迷信民主的力量...

每一个人除了他自己懂得那一些东西之外,也都是盲目的...

mm还是挺好看的:)

http://www.csie.ntu.edu.tw/~b89075/197211_Lenna_Sjooblom_CF_LivePix.jpg

这个图片是谁我不知道.但是貌似做图像处理的最爱用这张图了.以前上大学学数字信号处理的时候,看的都麻木了.哈哈.还有,你的代码,还有可执行文件不能正常下载.请查验.

我可以下载啊
another link
http://groups.google.com/group/winx/browse_thread/thread/a7092ecf7e370e51

使用霍夫变换，完全可以全自动，不用选那三个点。

这个属于边缘检测里面最容易的情况了。