Description: 这是一个用C++语言实现一个指纹识别程序,要求满足FVC国际竞赛标准,并在学校建立的指纹库上实测。程序里应用到的技术有:中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配等等……
-This is a C++ language implementation with a fingerprint identification procedure that requires the FVC meet international competition standards, and establish a fingerprint in the school library on the measurement. Program where the technology applied to the following: median filter, histogram equalization, the direction of ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching and so on ... ... Platform: |
Size: 2214912 |
Author:武子 |
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Description: 一个Java实现的基于内容的图像检索工具包,可用来提取图像的颜色特征、纹理特征(Gabor Filter)以及形状特征,并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape features, and on this basis to determine the image correlation. Platform: |
Size: 41984 |
Author:杜可 |
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Description: Gabor滤波器经常被用于形状检测和特征提取,比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。
代码使用如下:
function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta)
from gaborfilter1 with different f(Frequency) and theta(Angle).
for example
f:0,2,4,8,16,32
theta = 0,pi/3,pi/6,pi/2,3pi/4
then for any input image like(eg. stereo.jpg)
you have 6x5 = 30 filtered images.
You can choose your desired angles or frequencies.
You can put nominaly Sx & Sy = 2,4 or some one else.
For instance I tested above example on ( cameraman.tif )(in MATLAB pictures)
I = imread( cameraman.tif )
[G,gabout] = gaborfilter1(I,2,4,16,pi/3)
figure,imshow(uint8(gabout)) -Gabor filters are often used for shape detection and feature extraction, such as the enhanced fingerprint image. Matlab implementation of the code is a two-dimensional Gabor filter. Use the following code: function [G, gabout] = gaborfilter1 (I, Sx, Sy, f, theta) from ' gaborfilter1' with different f (Frequency) and theta (Angle). For example f: 0,2,4, 8,16,32 theta = 0, pi/3, pi/6, pi/2,3 pi/4 then for any input image like (eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on (' cameraman.tif' ) (in MATLAB pictures) I = imread (' cameraman.tif' ) [G, gabout] = gaborfilter1 (I, 2,4,16, pi/3) figure, imshow (uint8 (gabout)) Platform: |
Size: 1024 |
Author:郑碧波 |
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Description: 这是一个用递归算法实现的gabo滤波器程序,程序运行速度快-This is a recursive method using Gabor filter implementation procedures, compared with traditional methods greatly improve the speed Platform: |
Size: 3072 |
Author:流线军 |
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Description: this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated Platform: |
Size: 2048 |
Author:NIVI |
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Description: 基于MATLAB的gabor滤波器的实现,这个是检测边缘的-Based on Gabor MATLAB filter implementation, this is the edge detection
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Size: 4096 |
Author:张大玲 |
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