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基于matlab的指纹识别算法
说明: 文简要介绍了指纹识别的基本步骤,分别是指纹图像预处理、指纹特征提取、指纹匹配(This paper briefly introduces the basic steps of fingerprint recognition, which are fingerprint image preprocessing, fingerprint feature extraction and fingerprint matching)
- 2020-06-20 07:00:01下载
- 积分:1
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ksvdbox13
KSVD算法的工具包,安装在matlab的相关路径下,可以直接调用。(KSVD algorithm Kit installed in the path of matlab can be called directly.)
- 2013-03-19 23:30:18下载
- 积分:1
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mean_shift.m
matlab代码实现meanshift图像分割算法,有较好的效果(matlab code meanshift realize image segmentation algorithm has better results)
- 2008-02-20 01:29:46下载
- 积分:1
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CvThrehold
基于opencv实时图像的2值化处理,一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)
- 2013-11-29 20:29:33下载
- 积分:1
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IMAQ-image-pretreatment
labview图像预处理,子程序,包括转化为灰度图,二值化,腐蚀,膨胀,参数可调(labview IMAQ image pretreatment,sub vi,consist of conversion to grayscale, binary, erosion, dilation, adjustable parameters)
- 2012-05-08 10:28:55下载
- 积分:1
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图像处理评价指标
说明: 图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-noise ratio, root mean square error, spatial frequency, standard deviation, mean, distortion degree, deviation index, etc. in image fusion)
- 2019-05-27 08:48:13下载
- 积分:1
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watermark
说明: 用matlab工具去除照片中水印,去除水印快速,简单,快速(Using Matlab tool to remove watermarks in photos is fastly, simplely.)
- 2020-06-19 04:20:01下载
- 积分:1
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fft
对图像进行傅立叶变换和反变换,计算频谱幅值(The image Fourier transform and inverse transform, the amplitude spectrum is calculated)
- 2013-05-23 10:10:14下载
- 积分:1
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基于小波变换的图像融合源代码
利用小波变换融合红外图像与可见光图像,提高图像质量(Infrared image and visible light image are fused by wavelet transform to improve image quality)
- 2017-10-19 11:32:21下载
- 积分:1
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ssd.pytorch
说明: SSD: Single Shot MultiBox Object Detector, in PyTorch
A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here.
Table of Contents
Installation
Datasets
Train
Evaluate
Performance
Demos
Future Work
Reference
- 2020-06-25 07:00:02下载
- 积分:1