-
C with image
说明: 用c语言实现一些简单的图像处理功能,如灰度化、旋转、拷贝等(Some simple image processing functions, such as gray scale, rotation, copy, etc., are implemented in C language.)
- 2020-06-17 21:00:06下载
- 积分:1
-
OMP
说明: 压缩感知稀疏恢复中使用的OMP算法,matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)
- 2019-04-09 09:20:25下载
- 积分:1
-
NEDI
NEDI源代码,是用于超分辨率重建的,并附上原文献,希望对大家有用~(The NEDI source code for super-resolution reconstruction, together with Uehara literature, we want to ~)
- 2020-10-28 15:19:59下载
- 积分:1
-
method-2
相关法求旋转平移图像的旋转角度 转极坐标方法2 另一法见本人另一程序包(Correlation registration method for rotation angle (polar coordinates method 2))
- 2017-02-26 17:14:58下载
- 积分:1
-
super-jpg2k
基于JPG2000图像的超分辨率重建的matlab程序(JPG2000-based super-resolution reconstruction of image matlab program)
- 2010-01-07 00:10:31下载
- 积分:1
-
xiaochengxu
该程序包中有基于Hough变换的车道线检测,还有卡尔曼跟踪和别的小程序,都是可运行的,读者可自行学习(The package, the lane detection based on Hough transform, Kalman tracking and other small programs are running, readers can learn on their own)
- 2012-07-12 16:43:10下载
- 积分:1
-
Area
说明: matlab使用regionprops求面积,找到连通域(Matlab uses regionprops to calculate area and find connected region)
- 2020-06-17 08:00:02下载
- 积分:1
-
Sparse-Representation-
稀疏表示的毕业参考论文,在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.(Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications)
- 2017-05-16 19:14:34下载
- 积分:1
-
PolygonNesting
文章讲述了一种基于多边形的优化排样方法,结合不规则件特征确定了零件排放的最佳位置,给出了排料规则库的设计,通过排料空间的边界组织和边界更新,形成了新的排样空间。
(Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)
- 2010-06-20 15:50:00下载
- 积分:1
-
Gamma-correction
说明: 对图像进行伽马校正,可以有效提升图像 亮度和对比度,低于低照度图像现在小于1的参数,对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)
- 2021-02-10 20:19:52下载
- 积分:1