搜索资源列表
SUSAN A New Approach to Low Level Image Processing
- 用于图象边缘的精确检测的susan算法的文章- Uses in the image edge precise examination susan algorithm article
susan
- susan算法，用于图像边角检测或者图像平滑，C-susan algorithm for image detection, or just bits and pieces image smoothing, C
edgetools--susan
- 基于susan 算法的图像边缘检测程序，非常好使-susan algorithm based on the Edge Detection procedures, so very
susan-matlab
- 为了便于在matlab中调用susan算法的c实现函数，对Stephen Smith写的susan2.1 c源码进行简单编辑剪裁，并提供常用susan函数的matlab mex接口函数，使用者在matlab中简单编译后就能使用了。
susan
- 基于susan算法的角点检测程序，susan算法也是一个很出色的算法，有的效果甚至比harris还好
susan
- 基于susan算法的角点检测程序,提供对图像特征准确，鲁棒，快速的提取，并采用高效代码实现
susan
- Susan算法，用于角点检测。很先进的方法，国内有人改进过，这是原来的方法。
SUSAN
- SUSAN算法源码及其论文资料，包括了源程序和论文，很齐全
susan edge
- 基于susan算法的matlab源代码。
susan.rar
- 经典的角点检测算法susan角点检测的C语言代码。,Classic susan corner detection algorithm for corner detection of the C language code.
susan.rar
- susan角点检测算法的MATLAB程序实现,susan corner detection algorithm for implementation of the MATLAB program
susan.rar
- 一种改进的susan角点检测算法，非常好用，效果明显。,An improved susan corner detection algorithm is very easy to use, the effect clearly.
MySUSAN
- SUSAN 算法 可以利用susan算法进行图像的角点检测-SUSAN algorithm can susan algorithm for image corner detection
matlab-susan
- 图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助-Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people
ImageCombine
- 运用OpenCV，采用Susan算法，对图片进行拼接和存储-Two pictures splicing and store, call OpenCV, the use of the Susan algorithm
MYSUSAN
- SUSAN算法检测角点的MATLAB的实现方法-SUSAN corner detection algorithm of MATLAB Realization
SUSAN37
- susan 算法 susan算法-susan algorithm algorithm susan
susan
- susan算法具有很好的边缘提取效果，对图像噪声敏感度不高-susan
susan
- 基于susan算法的角点检测程序,提供对图像特征准确，鲁棒，快速的提取-Susan algorithm based on corner detection procedures, providing an accurate image features, robust, fast extraction
Desktop
- 该压缩包包含SUSAN算法和FAST算法的MATLAB代码，可用于提取图像中的角点(The compressed package contains the MATLAB code of the SUSAN algorithm and the FAST algorithm, which can be used to extract the corner points in the image)