搜索资源列表
lans-patrec
- 从一个模式识别toolbox中摘取的计算zernike不变矩的源代码，结果为图像的n阶m重zernike不变矩
Shape-matching-with-Zerinike-moments
- 结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is convert
wyZerMoment
- 计算Zernike矩，对图像进行了平移，尺度归一化-Computing Zernike moments, the image of the translation, scaling normalization
zernike
- 这是印章鉴定系统中的重要算法，包括去除背景，基于矩不变量的识别方法等-This is a seal of identification system of the important algorithms, including the removal of background, based on moment invariants identification methods
wyZerMoment
- 计算Zernike矩，对图像进行了平移，尺度归一化-Computing Zernike moments, the image of the translation, scaling normalization
-Zernike-moments-
- Zernike亚像素图像矩边缘检测算子方向角模型研究-Research angle model Zernike moments of sub-pixel image edge detection operator
zernike1
- 可以方便的实现泽尼克矩，很实用，很方便，很好用-You can easily achieve the Zernike moments, very practical, very convenient, easy to use
zernike_ydiff
- zernike不变矩。特征提取方法。基于形状的特征提取方法。-zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.
zernikemoment
- zernike矩算法。通过此算法，能够获得更加精确的zernike矩的模板。-MATLAB algorithm for perfect zernike moment
Zernike-moments-improved-algorithm
- 介绍了Z er in ke 矩及基于Z er in ke 矩的图像业像素边缘检测 原理,-Introduces the Z er ni ke Z er in the moment and image-based industry-pixel edge detection principle ke Moments
Zernike-Moment
- 关于泽尼克矩的应用于二维图形文件的搜索。-Zernike Moment
Diameter-measurement
- 基于机器视觉的简单圆柱形零件图像的直径测量，采用zernike矩亚像素边缘定位的方法实现。-Diameter measurement based on machine vision simple cylindrical part of the image, the method of moments subpixel edge location zernike implementation.
Image_Feature
- 图像特征提取代码，包括LBP、HOG、Haar、Zernike矩、Hu矩特征，.h文件有如何调用的说明。-LBP feature、HOG feature、Haar feature、Moment feature
EdgeDetecion
- 实现基于Zernike矩的亚像素级边缘检测。Matlab代码。-To achieve sub-pixel level edge detection based on Zernike Moments. Matlab code.
BaseZernike1
- 基于Zernike 正交矩的图像亚像素边缘检测的改进算法(sub-pixel based on Zernike)
EdgeDetecion
- 亚像素边缘检测，基于zernike 灰度矩，实现精度可达0.05个pixel(sub-pixel edge detect)
Zernike
- 改进的基于Zernike正交矩的图像亚像素边缘检测，对图像的边缘实现亚像素级别的检测。(Improved subpixel edge detection based on Zernike orthogonal moments, and realizes sub-pixel level detection on the edge of image.)
Invariant Image Recognition by Zernike Moments
- 通过Zernike Moments不变矩图像识别原理(Invariant Image Recognition by Zernike Moments)