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bp神经网络的车辆分类
- c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and t
realtarget
- 选用不变矩为目标特征,采用以积分方法为基础的一种不变,矩快速算法.对极点的计算提出了具体算法.给出了各种极点的叠加分量.-use the same moment as the goal of using a scoring system based on an unchanged Moments fast algorithm. the calculation of Poles made specific algorithm. the p
invariance
- 不变矩由于对图像旋转、放大、平移具有不变性，因此广泛用于目标识别中，本程序求出了HU提出的七个不变矩。-moment because of the same image rotation, zooming, with translation invariance, it is widely used to target identification, The procedures are determined by the seven
cxsb
- 通过背景差获取目标，提取车辆的不变矩，外加矩形度，圆形度，体态比等特征构成特征向量组，通过欧式距离识别出车辆。-through poor background, target acquisition, unchanged from the moment vehicles, plus rectangular, circular, Body composition characteristics than the eigenvector g
xunhuan_bubianju
- 采用循环方式做的计算图像平面区域不变矩，从而得到不变特征-Does the use of a revolving basis, the calculation of the image plane region moment invariants, and obtain the same characteristics
七个不变矩
- 形状特征的七个不变矩，用matlab实现-Shape characteristics of the seven moment invariants, using matlab to achieve
zernike
- zernike 矩 不变矩特征 zernike 矩 不变矩特征-zernike Moment Moment Invariant Feature zernike Moment Moment Invariant Feature
MSA
- 多尺度自卷积放射不变特征-经典文章 多尺度自卷积放射不变特征-经典文章-Affine invariant pattern recognition using multiscale autoconvolution.pdf
SIFT
- sift不变矩在遥感图像中的应用 sift尺度不变特征-sift of moment invariants in the application of remote sensing images sift scale-invariant features of
mser
- 基于Matlab实现了图像MSER仿射不变特征的提取-Matlab implementation of image-based affine invariant feature extraction MSER
MSA
- 仿射不变特征提取 多尺度自卷积方法-The Multi-Scale Autoconvolution (MSA) method offers a novel way of approaching this problem. The method provides affine invariant features with only moderate computational complexity and does not requir
central-projection
- 通过极坐标变换获得图像的中心投影曲线，然后利用傅里叶变换获得图像的不变特征，从而实现对发生形变的物体的识别。-Polar coordinates to obtain the image through the center of projection curve, and then Fourier transform to obtain images of the same features, enabling the identifi
SIFT方法进行特征匹配
- 尺度不变特征转换是一种计算机视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe 在1999年所发表，2004年完善总结。程序已调通，在match.m中改变所处理图片的名称即可。相关参考文献已上传本网站，Distinctive Image Features Scale-Invariant Keypoints
1.6 尺度不变特征提取
- im=imread('lena.bmp'); im=double(im); [ pos, scale, orient, desc ] = SIFT( im); 注意：要转换成double型(Im = imread (' Lena. BMP '); Im = double (im); [pos, scale, Orient, desc] = SIFT (im); Note: to convert to double)
siftDemoV4
- SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。(SIFT, the scale invariant feature transform (Scale-invariant, feature, transform, SIFT), is a descr iption of the
3D SIFT代码
- 经典的3D SIFT描述子，剧透尺度不变特性，具有很好的行为识别效果(3D SIFT classic invariant descr iptor, spoilers scale, behavior recognition has good effect)
invariable_moment
- Hu矩具有旋转、平移、尺度等特性的不变特征，实验采用这个方法提取图像的7个不变矩特征(Hu moment has the invariant characteristics of rotation, translation, scale and other characteristics, the experiment uses this method to extract the image of the seven invarian
1.6 尺度不变特征提取
- 角点特征的特征，该小节说明角点问题，详细说明(The feature of the angular feature, which indicates the Angle point problem)
七阶不变矩
- 提取图形的七阶不变矩，简单易行，利用求得特征矩进行图像的识别(It is simple and easy to extract the seven order moment of the graph, and the image is identified by using the characteristic moment.)
提取五个特征量中的Hu矩和仿射不变矩
- 提取五个特征量中的Hu矩和仿射不变矩,亲自测试好用，可放心下载(Extraction of Hu moments and affine invariant moments in five eigenvalues)