资源列表
Image-registration-procedures
- 实现了基于SIFT的腹部医学图像配准，实现了对图像特征点的提取。-SIFT-based abdominal medical image registration, image features extracted.
rand_gause
- 利用系统时间产生均匀分布随机数，再利用中心极限定理产生高斯白噪声。有详细注释和合理性验证。-Use the system time to produce uniform distribution of random numbers, then use the central limit theorem generated Gaussian white noise. There are detailed notes and reasonable verification.
VisualC++graphic
- 使用Visual C++做的数字图像实用工程案例，包括图像的缩放，变色，调节RGB等基本操作
2ww
- 《VisualC数字图像实用工程案例精选》源码 《VisualC数字图像实用工程案例精选》源码-" VisualC digital images practical engineering cases selected" source " VisualC digital images practical engineering cases selected" source
hausdroff
- 基于housdroff距离的图像匹配方法，对噪声、图像的缺失很好的鲁棒性，使用遗传算法的全局搜索策略加快了匹配速度。-Based on housdroff distance of an image matching method, good robustness to noise, lack of image using a genetic algorithm global search strategy to accelerate the matching speed.
mathematical_morphology_edge_detection
- 该压缩包里面收集的是基于数学形态学的图像边缘检测方法的文献，有十几篇。-Collected inside the archive is based on mathematical morphology edge detection literature, there are more than a dozen.
DPGrid_LATImage
- 本书主要说的是低空数码影像处理的内容，其中包括摄影测量的内定向、相对定向、绝对定向、影像匹配、以及dem的处理等等内容-This book says that the low-level image processing of digital content, including within the photogrammetric orientation, relative orientation, absolute orientation, image matching, as well a
watershed-ridge-lines
- 如果图像中的目标物体是连接在一起的，则分割起来会更困难，分水岭分割算法 经常用于处理这类问题，通常会取得比较好的效果。分水岭分割算法把图像看成 一幅“地形图”，其中亮度比较强的区域像素值较大，而比较暗的区域像素值较 小，通过寻找“汇水盆地”和“分水岭界限”，对图像进行分割。-Separating touching objects in an image is one of the more difficult image processing operations. The wa
9857503
- image segmentation using color information(hsi)
fourier
- 傅里叶变换 针对边缘提取~里面有文档和源码~-Fourier transform for edge detection- there are documentation and source code-
The-image-processing-program
- 包括图像增强、图像分割、目标检测、图像配准等各种算法的程序代码-Including image enhancement, image segmentation, target detection, image registration algorithm code
EdgeContour
- 数字图像处理之边缘检测，包括ROBERT\SOBEL\傅立叶-Digital image processing edge detection, including robert\sobel\ Fu Liye