-
GrabCutSource
最经典之做，保证别人没有上传过
实现文章
“GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts
用graphcut实现图像分割，效果非常好(The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results)
- 2020-10-30 22:20:01下载
- 积分：1
-
meanshift
mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)
- 2009-12-18 19:39:09下载
- 积分：1
-
SmartLoadBmp
对图像（Bmp）的智能读入界面设计，源代码(Read image (BMP), intelligent interface design, source code)
- 2013-04-25 17:01:46下载
- 积分：1
-
vcphotoboth
VC++处理图像模糊或柔化的效果示例源程序，类似Photoshop中的图像高斯模糊效果，每点击一次鼠标右键，程序为模糊一次，直到你满意为止。注意程序仅实现了模糊的功能，其它功能比如程序优化和效率方面的考虑还比较少，因此程序运行速度方面可能会欠缺一些(VC++ deal with image blur or soften the effect of sample source code, similar to Photoshop' s image Gaussian Blur effect, each click the right mouse button, the procedures for fuzzy time until you are satisfied. Note that the program is only vague functions, other functions such as process optimization and efficiency considerations is still relatively small, the speed of the program is running may lack some of the)
- 2012-06-25 15:06:57下载
- 积分：1
-
freeimage
说明： 图形图像出来库文件，挺好用的，直接包含进工程就可以用了 (Graphic images from the library files, good used directly included into the project can be used)
- 2009-08-15 20:30:56下载
- 积分：1
-
xbsf
小波算法。机械化的提高我们的效率。让我们减少错误率。大家要对她有性心。(Wavelet algorithm. Mechanization to improve our efficiency. Let us reduce the error rate. We have to have sex to her heart.)
- 2013-12-03 21:36:15下载
- 积分：1
-
Basic-knowledge-of-image-processing3
This program contains some basic image processing things, such as: 256 colors to grayscale, contrast stretching, anti-color, brightness change, etc.
- 2012-01-20 12:37:56下载
- 积分：1
-
opticalflow
用光流法进行运动物体的检测和跟踪，并返回运动方向(Light flow method of moving object detection and tracking, and return to the direction of movement)
- 2009-07-15 14:03:10下载
- 积分：1
-
fire
基于VC的各种火焰真实模拟,有效的显示了火焰的效果.(fire)
- 2009-07-20 10:18:06下载
- 积分：1
-
Edge-Thinning
Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
- 2016-09-13 22:05:34下载
- 积分：1
