搜索资源列表
复杂网络提取图像边缘特征
- 使用复杂网络提取图像边缘特征并进行识别的源代码,采用PCA_LDA算法对特征进行降维分类识别,识别效率很高。鲁棒性好
Lianxi
- 支持图像的边缘特征提取,和获取直方图 等-support of the edges in the image feature extraction, and access to, such as histogram
人脸特征定位
- 人脸特征定位,实现人脸相似度计算,二值化,边缘提取。解压密码:123-positioning facial features, facial similarity to achieve, the two values, edge extraction. Extracting Password : 123
my_hausdroff2
- 利用图象边缘特征的基于豪思道夫距离的景象匹配算法,匹配速度要比基于灰度的算法高好几个数量级-use of the images on the edge of Ho Sze-Astoria distance from the scene matching algorithm, speed matching gray than the algorithm based on several high-volume
newnewf
- 一种基于边缘特征的二值化算法,效果较好,里面还有ppt,讲解算法的主要思想 还有matlab源码。-based on the characteristics of two marginal value of the algorithm, the result is better and there is also ppt. Algorithm on the main ideas are still Matlab source.
tianyufeishi
- 图象编程,含有图象的边缘特征和图象匹配的算法实现-image programming, with the edge of the image features and image matching algorithm
the1
- 在用小波分解加强图像边缘的基础上,利用修正的形态学边缘检测算子,以减 轻图像边缘检测的模糊性;通过形态结:构元素尺度的调整,得到多尺度下图像边缘的 特征,并综合各尺度下的边缘特征,得到较为理想的图像边缘,实验验证了该算法的可 行性和有效性。-Using wavelet decomposition to strengthen the image edge based on the use of amendments to th
DoGfilters
- DoG(Difference of Gaussian)滤波算子,主要用于边缘特征提取,用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差,针对方差设计可以对不同的图像特征情况下有不同的表现。-DoG (Difference of Gaussian) filtering operator, the edge feature extraction is mainly used for pattern recognition of t
Wavelet_bandlet-denoising
- 轮廓波变换,可用于边缘提取,图像去噪,可对 边缘特征响应.是新一代的小波!-The outline of wavelet transform, can be used for edge extraction, image denoising can respond to the edge of the characteristics. Is a new generation of wavelet!
cannyoperator
- 先对图片进行灰度处理,然后进行高斯滤波,最后得到边缘特征点。-First deal with gray-scale pictures, and then carry out Gaussian filter, and finally get the edge feature point.
disp_fig
- 采用通过提取图像的边缘特征对两幅图像配准,并采用双线性插值算法来提高配准精度。用于两幅图像间变化不大的配准。-Adopted through the extraction of image edge characteristics of two image registration, using bilinear interpolation algorithm to improve registration accuracy. Betw
ImageTest6
- 数字图像处理学--VC++实现 边缘检测 特征提取 图像识别 分类算法-Visual C++ Digital Image Proccessing
cannythreshold
- 其基本思想是:首先,用微分算子检测图象的边缘;然后,在这些边缘象素点上进行二值化阈值的自动选择;最后,对于其它非边缘象素点则采取常规方法进行二值化处理。实验结果表明,这个基于边缘特征检测算子的算法能很好地保留原图的边缘特征,并能处理低质量的图象-The basic idea is: First of all, the differential operator with the edge detection image And, at
tuxingfenxi
- 实现边缘特征提取的功能有很强的特征提取功能能够边缘特征进行提取-Edge feature extraction to achieve the function of the characteristics of a strong edge feature extraction functions can be extracted
EdgeDetectionandSegmentation
- 边缘特征提取。可以实现Prewitt Roberts Log Canny 四个算法。-Edge feature extraction. Can be achieved in four Prewitt Roberts Log Canny algorithm.
imgpolarcoord
- 图像笛卡尔坐标转极坐标,下视景像匹配制导中,实时图和基准图的拍摄高度、方位和图像比例尺不完全一致,两图的轮廓形状存在旋转和变形等差异,边缘特征提取方法受图像灰度分布影响存在变形和移位,易导致匹配错误。用侧抑制竞争方法,图像边缘特征提取快速准确,不发生移位,对灰度变化也不敏感,再用扩展边缘特征法,克服轮廓变形对边缘匹配的影响。在此基础上,引入对数极坐标变换,进一步提高图像的抗旋转和尺度收放的匹配精度。结果表明,此方法模型简单、抗几何变形能
multi-scale-wavelet-transform
- 利用小波变换中的多尺度变换进行图像边缘特征检测的主程序!-Using multi-scale wavelet transform in image edge detection of the main program features!
cedif
- 相干增强扩散,可用于去噪,去噪的同时可较好的保持边缘特征 -failed to translate
localmax-expri
- 多尺度分解图像,利用小波的模极大值获取图像的边缘特征,并绘图-Multi-scale decomposition of the image, the wavelet modulus maximum to obtain the image edge features, and drawing
预处理+边缘特征提取+形心骨架模型
- 内含检测视频,用于特征的提取,使用的matlab 软件,功能非常强大(Embedded detection video, used for feature extraction, matlab software, is very powerful)