搜索资源列表
voicebox
- 语音信号处理中经常用到的voicebox工具箱里面包含常用到的函数,比如加窗、分帧,合成、和提取特征-voicebox:a toolbox uesd in speech processing
dianlanguzhang
- 电缆故障行波脉冲分析法仿真,小波分析提去噪并提取特征-Traveling wave pulse method in electric cable short circuit fault, using wavelet analysis to decline noise
wavelet-in-powersystem
- 电力系统暂态故障的六种形式仿真,小波分析去噪,提取特征-six form of Power system transient fault, using wavelet analysis
直方图特征提取
- 直方图统计特征提取,用于特征识别,分类识别等方面
harris-laplace
- harris-laplace是基于DOG算法的改进,从不同尺度提取特征点,规避了不同尺度提取同一特征的缺陷。-feature detector
siftDemoV4
- sift描述子,用来提取特征点以及匹配 计算机视觉的重要基础-sift descr iptors important foundation for extracting feature points and matching of computer vision
harris
- 经典的harris提取特征角点算法,图像处理必备的算法-harris describer
纹理特征提取
- 纹理提取的算法,可以很好的实现纹理特征的提取。
image-feature-from-phase-congruency
- 彼得可谓西的利用相位信息提取特征的文献,非常经典,对边缘的提取效果较好-The use of phase information extracted features can be described as literature Peter West, very classic, edge extraction is better
waveaenergy
- 此程序为小波包变换结合和能量谱分析提取特征频率-This procedure for the analysis of wavelet packet transform and energy spectrum feature extraction of frequency combination
opencv
- 利用opencv实现图片色彩空间的分离显示:分别分离成RGB和HSV,然后提取特征向量实现图片比较-Display image color space using the opencv: RGB and HSV were separated, and then extract the feature vector is realized.
gabor-face-detection-
- 基于gabor的提取特征,利用人工神经网络进行人脸检测- Feature extraction for face detection based on Gabor, using artificial neural network
harris-laplace
- Harris-laplace稳定角点提取特征。-Harris-laplace stable corner detection feature.
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
wwwww
- 针对数字图像,提取特征,生成特征矩阵的样例程序,对数字识别用途较大。-According to the digital image, feature extraction, feature matrix generation of large sample procedures, digital identification purposes.
SIFT-open
- sift算法VC6实现,能够提取特征描述子,两张图片匹配-Sift implementation of VC6 algorithm
3
- 提取特征,训练一个模型,用于后期的检测识别,代码无误-extract feature
mosaic
- 图像拼接,将两幅图像拼接在一起,不同像素不同大小,基于特征的方法,手动提取特征点-Image stitching, stitching together the two images, different pixel sizes, feature-based approach, the manual extracting feature points
mfcc1
- 利用梅尔倒谱系数提取特征参数,可用于人声和昆虫声信号处理-MEL cepstrum coefficient of extraction sound characteristic parameters
sift_match
- 输入两张图片,提取特征点,通过Ransac计算变换矩阵H,进而实现图像融合-Enter the two images, extracting feature points calculated by Ransac transformation matrix H, and thus achieve image fusion