资源列表
image-matching
- 图像匹配，翻转，图形的匹配识别，vc++6.0编写-image matching
SalientRegionDetectorCVPR09
- 显著区域检测的一篇文章所带的测试算法，CVPR-Salient Region Detector CVPR 2009
opengl初始小程序
- opengl图形编程入门，包含绘制多种图形图像的绘制代码
ImageRotate
- 利用OpenCv函数实现了对一幅图像的旋转操作，和matlab自带的函数不同，有具体实现过程-Use OpenCv function implements the rotation operation on an image, and a built-in function matlab different, there are specific implementation process
GUI
- matlabGUI设计的一个简单的例子，实现的图像的阈值的自动调节，然后输出阈值化后的图像，-A simple example matlabGUI designed to automatically adjust the threshold to achieve an image, then the output image after thresholding,
watershed
- 基于opencv实现分水岭算法的图像分割程序，在图像的不同区域画线，然后按w键运行算法，就可得到分割图像。-Image segmentation based on opencv achieve watershed algorithm procedures, in different areas of the image line drawing, and then press the w key operation algorithm, image segmentation can be obt
impoint_halcon
- halcon 标定板特片点提取处理程序，相机标定第1步，图像处理程序。halcon有49个点集，图像处理时自动提取49个圆心，并根据标定板的特征，对49个点集进行排序。-halcon calibration plate special piece point extraction processing program, camera calibration step 1, the image processing program. halcon have 49 point sets, autom
OneD_graymoment
- 一维灰度矩，用matlab进行编程，输入为一维灰度序列，输出为边缘值。不能直接处理图像！但有学习研究价值。-One-dimensional gray moment, using matlab programming for one-dimensional gray-scale input sequence, the output value for the edge. Can not directly deal with the image! But learning research valu
ImgSharpen
- 对图像实现锐化功能。以四种不同的锐化算法进行对比输出，代码简单易懂，效果明显。-Achieve sharpening the image. To four different output sharpening algorithm to compare the code easy to understand, the effect is obvious.
show_Pic
- VC++编写的显示图片的程序 通过选择，显示不同的图片-VC++ written procedures for the display picture Through selection, show different pictures
IEEE
- 阴影检测的几篇论文，还有一篇2003年的经典综述，用于视频检测中的阴影去除-Shadow detection of several papers, as well as an overview of the classic 2003 for shadow removal in video detection
evalute
- 图像融合的各种Q值评价指标的代码，包括Q0,Qe,Qw,Qabf,vif等，非常适合图像融合的质量评价-Q values of various uation code image fusion, including Q0, Qe, Qw, Qabf, vif, etc., is very suitable for quality uation of image fusion