搜索资源列表
hu_bmp
- 这个程序主要是用IPLIMAGE类型实现的HU不变矩的最优算法，可以直接运行。-This program is mainly used IPLIMAGE type HU invariant moments achieve optimal algorithm can be run directly.
P_zernike_demos
- 利用HU不变矩提取图像的特征，主要是形状特征，HU不变矩具有旋转缩放不变性-HU invariant moments using the image feature extraction, mainly shape characteristics, HU invariant moments with rotation scaling invariance
humoments
- 基于图像Hu不变矩及图像的欧氏距离对二值图像进行分类-Invariant moments and images based on the image Hu Euclidean distance to the binary image classification
GetFeature
- 能够自动批量提取图像的hu特征与灰度共生矩特征，将图像路径存储在txt文件中-Hu feature can automatically batch extract image features with gray symbiotic moments in txt file to store the image path
HuMoment
- 基于7个hu不变矩的图像匹配，基于7个hu不变矩的图像匹配-Image matching based on 7 hu invariant moments，Image matching based on 7 hu invariant moments
ju
- 数字图像处理的Hu不变矩的验证实验包括试验程序和函数文件。-Verify the Hu invariant moments
CBIR_Shape
- matlab实现的，基于HU不变矩的图像形状特征提取的程序-matlab to achieve, based on image invariant moments shape feature extraction HU program
fall
- 跌倒检测的MATLAB程序 包括背景差分 去噪并判断跌倒 提取高宽比 重心下降速率 hu不变矩特征 svm分类-fall detection s MATLAB program including background dirrerence remove noise and ratio of height and wide hu invariable moments and svm classifier
tuxiangtezhengtiqu
- 对图像的特征提取，有灰度直方图，共生矩阵，Hu不变矩，几何特征，还有基于小波的二维分解，已运行。-Image feature extraction, there histogram, co-occurrence matrix, Hu invariant moments, the geometrical characteristics, already running, correct.
hu_invariable
- hu不变矩,主要用于对一些图像的不变距特征的提取。-hu invariant moments, mainly used for the extraction of some of the images the invariant features.
xingzhuangbubianju
- 利用HU的七个不变矩作为形状特征向量,对输入图像数据的七维形状特征行向量进行提取。 - The seven invariant moments of HU are used as the shape feature vectors to extract the feature vectors of the seven dimensional shape of the input image data.
final
- 一种交通标志的ROI分割算法，运用HSV空间的颜色信息和Hu不变矩的形状信息进行识别(A ROI segmentation algorithm for traffic signs, which uses the color information of HSV space and the shape information of Hu invariant moments to recognize)
NEMLVP74
- Hu s Invariant moments, easy to undersy tand div hr div B 文件列表 B ： div()
dimensional-poll
- Hu s Invariant moments, easy to undersy tand div hr div B 文件列表 B ： div()