Description: 虹膜识别图象归一化处理，把环形虹膜区域归一为一个统一的矩形图象，方便下一步特征提取和匹配。-Iris recognition normalized image processing, the annular iris region normalized to a uniform rectangular images, the next step to facilitate feature extraction and matching. Platform: |
Size: 4096 |
Author:韩乐 |
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Description: 虹膜识别的内外边缘图像分割，包括瞳孔的分离，还有外边界的分离-Iris recognition both inside and outside the edge of image segmentation, including the separation of the pupil, as well as outside the borders separating Platform: |
Size: 10240 |
Author:方文利 |
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Description: 图像分割在医学图像，智能识别上的应用，虹膜识别-Image segmentation in medical imaging, intelligent recognition on the application of iris recognition Platform: |
Size: 228352 |
Author:林小彬 |
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Description: Watermarking embeds information into a digital signal like
audio, image, or video. Reversible image watermarking can restore the
original image without any distortion after the hidden data is extracted.
In this paper, we present a novel reversible watermarking scheme using
an interpolation technique, which can embed a large amount of covert
data into images with imperceptible modification. Different from previous
watermarking schemes, we utilize the interpolation-error, the difference
between interpolation value and corresponding pixel value Platform: |
Size: 2541568 |
Author:isclor |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
Size: 6918144 |
Author:张数 |
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Description: 程序可实现人眼虹膜、眼睑及睫毛分割，主要功能有：（1）虹膜内外圆的霍夫圆检测；（2）眼睑检测以及参数方程的求解；（3）睫毛的最优化阈值处理。
vc文件夹下包含以下四个内容：（1）最后编译生成的.exe文件；（2）包含主要算法的.h头文件；（3）两幅原始图像（yangjing1.bmp,yanjing2.bmp）；（4）两幅经过MATLAB进行自适应直方图均衡化的图像（yanjing11.bmp,yanjing22.bmp）-Program can achieve human iris, eyelids and eyelashes segmentation, the main features are: (1) iris inside and outside the circle Hough circle detection (2) eyelid detection and parameter equation (3) the optimal threshold eyelash treatment. vc folder contains the following four elements: (1) generated by the final compilation. exe files (2) contains the main algorithm. h header files (3) the two original image (yangjing1.bmp, yanjing2.bmp) (4) After two MATLAB adaptive histogram equalization image (yanjing11.bmp, yanjing22.bmp) Platform: |
Size: 154624 |
Author:郭卉 |
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Description: 本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。-Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area. Platform: |
Size: 603136 |
Author:张巍 |
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Description: segmentiris - peforms automatic segmentation of the iris region from an eye image. Also isolates noise areas such as occluding eyelids and eyelashes. Platform: |
Size: 10240 |
Author:OMAR |
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Description: 改进分水岭方法定位虹膜，采用形态学开闭重建运算对图像进行滤波，进行前后景标记，从而进行分割图像-Improved watershed method to locate the iris, using morphological opening and closing operation for image reconstruction filter, before and after King Mark, thereby performing image segmentation Platform: |
Size: 10065920 |
Author:杨亚丽 |
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Description: Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc. Platform: |
Size: 5120 |
Author:noufal |
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Description: This paper presents the segmentation algorithm used for
localization of iris for the development of robust iris
recognition algorithms for biometric process. Iris localization
plays a vital importance in iris identification. The method
determines an automated threshold for binarising and
determines the pupil center based on a histogram of gray
scale image. We present a detail comparison of several
segmentation algorithms used in the current iris recognition
systems-This paper presents the segmentation algorithm used for
localization of iris for the development of robust iris
recognition algorithms for biometric process. Iris localization
plays a vital importance in iris identification. The method
determines an automated threshold for binarising and
determines the pupil center based on a histogram of gray
scale image. We present a detail comparison of several
segmentation algorithms used in the current iris recognition
systems.. Platform: |
Size: 230400 |
Author:avinash trivedi |
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Description: segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
-segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
Platform: |
Size: 367616 |
Author:hanabou |
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Description: A universal texture segmentation and representation scheme based on ant colony optimization for iris image processing(1) Platform: |
Size: 616448 |
Author:VideoFUN |
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Search - Iris image segmentation