搜索资源列表
SIFT.rar
- 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。,Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points.
affien-invariant-moment
- 对发生仿射变换的图像，通过计算仿射不变矩来获得图像的不变特征。-Affine transformation of the image occurs, by calculating the affine invariant moment to get the image of the same features.
HuMoment
- Hu矩的计算，通过Hu矩计算可以实现图像的旋转、平移的不变特性-Hu Moment, can be achieved by Hu Moment of image rotation, translation invariant features
Image_denoising_with_wavelet
- Image denoising with wavelet We first load an image, and add some noise to it The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact
MSA_moment
- 运用多尺度自卷积计算图像的仿射不变矩的方法，该方法新颖，具有一定的创新性-Using multi-scale image from the convolution calculation of affine invariant moment method, which is novel, has some innovative
mod_lowe_demoV2.tar
- This directory contains a compiled binary program for performing invariant keypoint detection as well as sample code showing the use of the keypoints for image matching.-This directory contains a compiled binary program for performing invariant k
invriablemoment
- 不变矩是模式识别里面很重要的一种技术，它可以用于提取不变性特征，从而进行模式识别，广泛用于图像处理当中，如图像特征匹配-Moment invariant pattern recognition which is a very important technology that can be used to extract invariant features for pattern recognition which is widely used in image processing, suc
a1
- matlab 对基于形状的图像检索的算法 其中以七个不变矩为主要方法-matlab shape-based image retrieval algorithm for which the seven invariant moments as the main method! ! ! ! ! !
diaoyong
- matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中调用步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm, called the steps! ! ! ! ! ! !
m1
- matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! !
m2
- matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! !
a3
- 图像检索 毕业设计的 关于 七个不变矩的 简单的实现功能的算法 给予你思路的一个小小的编程-Image Retrieval on the graduation of seven moment invariant features a simple algorithm for the realization of an idea to give your little programming! ! !
MATLAB2
- 基于DCT的图像检索技术 用统计特征法和不变矩法 MATLAB程序-DCT-based image retrieval method using statistical features and invariant moment method MATLAB program
Zernike
- 用MATLAB计算Zernike矩，用于不变量特性的研究。适用于图像处理。-Using MATLAB computing Zernike moments for invariant features of. Applied to image processing.
hongwaituxiangtezhengtiqu
- 该代码是自己编制的，主要用于红外图像的特征提取，其中提取长宽比，复杂度，紧凑度，均值比，不变矩等七种红外图像的特征，可很好的为以后的识别做准备-The code is compiled their own, mainly for the infrared image feature extraction, which extract the aspect ratio, complexity, compactness, mean ratio of seven invariant moments a
siftDemoV4
- Scale Invariant Feature transform ( SIFT)-- this code implements the SIFT algorithm which extracts features invariant to Scale, Rotation and translation from any image.
An-Algorithm-for-Face-Recognition-
- 高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特 征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹 配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特 性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能 有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-
invariantMoment
- invariant moment feature selection of an image, matlab code
paper1
- Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
code-for-robust-feature-based-image-water-marking
- A digital image watermarking scheme must be robust against a variety of possible attacks. In the proposed approach, a new rotation and scaling invariant image watermarking scheme is proposed based on rotation invariant feature and image norma