Description: 自己编的程序，有gui界面给出结果的。这是个自己建的皮肤高斯模型，通过训练的到的阈值。在ycbcr域对皮肤区域进行了分割。-developed procedures, gui interface is the outcome. This is a build their own skin Gaussian model, the training of the threshold. Ycbcr domain in the region of the skin segmentation. Platform: |
Size: 185366 |
Author:侯强 |
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Description: 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.) Platform: |
Size: 10977280 |
Author:wfw |
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Description: This version of the Skin Cancer Segmentation program (skinseg) runs on the Windows platforms. Make sure all files reside in the same directory after extraction. No setup program is required to install skinseg on your machine. To run, execute the program skinseg.exe.-This version of the Skin Cancer Segmentation program (skinseg) runs on the Windows platforms. Make sure all files reside in the same directory after extraction. No setup program is required to install skinseg on your machine. To run, execute the program skinseg.exe . Platform: |
Size: 1020928 |
Author:pierre |
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Description: 自己编的程序，有gui界面给出结果的。这是个自己建的皮肤高斯模型，通过训练的到的阈值。在ycbcr域对皮肤区域进行了分割。-developed procedures, gui interface is the outcome. This is a build their own skin Gaussian model, the training of the threshold. Ycbcr domain in the region of the skin segmentation. Platform: |
Size: 185344 |
Author:侯强 |
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Description: 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study Platform: |
Size: 1020928 |
Author: |
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Description: 肤色分割的MATLAB 代码，主要是利用YCrCb来探测皮肤区域，然后进行边界提取。
希望对您有所帮助！-Color segmentation of the MATLAB code, mainly using YCrCb to detect skin regions, and then proceed to extract the border. I hope for your help! Platform: |
Size: 1024 |
Author:hq |
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Description: 基于matlab的彩色图像皮肤区域分割算法与实现，包括原理介绍和算法实验-Matlab based on skin color image region segmentation algorithm and realize, including the principle of the experimental introduction and algorithms Platform: |
Size: 646144 |
Author:无名 |
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Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区
YC C
r b
域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度
)
(
信息定位眼睛, 然后根据人脸特征的几
形态边缘检测算子检测候选区域的边缘, 利用 边缘方向
PCA PCAED
( )
何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确
的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分
割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征
PCAED
具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低
等特点。-
A novel approach for skin segmentation and facial feature extraction is proposed
The proposed skin segmentation is a method for integrating the chrominance components of
″″ . ″″
r b r b
nonlinear YC C color model The chrominance components of nonlinear YC C color space
,
are modeled using a subgaussian probability density function and then the face skin is seg
. ,
mented based on this function In order to authenticate the face candidate regions firstly tex
ture information in face candidate regions is segmented using mean and variance of luminance
, . ,
information and then the eye is located by the PCA edge direction information Finally the
, ,
others features such as nose and mouth also are detected using the geometrical shape infor
. 2 ,
mation As all the above mentioned techniques are simple and efficient the skin segmentation
.
based on nonlinear color spacemethod has the invariability of lighting and pose In the experi
, .
ments themethod has been successfull Platform: |
Size: 458752 |
Author:zz |
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Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
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Description: skin segmentation: recognizing skin part in RGB space, extract the skin part and using Fourier descriptor to reconstruct the margin Platform: |
Size: 30720 |
Author:fat rabbit |
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Description: 数字图像处理，基于椭圆模型的人的皮肤分割问题，最后输出二值化的图像-Digital image processing, based on the elliptic model of human skin segmentation problem, the final output binary image Platform: |
Size: 106496 |
Author:李娜 |
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Search - skin segmentation