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第09章 人脸的检测与定位
- 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 contr
c_fusejiance
- 此程序使用的集成环境为TI公司的CCS。程序的平台是使用合众达的VPMDM642 c_fusejiance是用DSP进行肤色检测。人体的皮肤颜色是人体的一个重要特征，肤色检测被广泛的应用于人脸跟踪、人脸检测、手语识别、敏感图像过滤等领域中. -use of this procedure for the integrated environment TI's CCS. Procedures for the use of the platform is up to the UCO i
face-detection
- 利用肤色聚类、形态学对人脸区域进行检测和分割-Skin color clustering, the morphology of the human face detection and segmentation
2
- 利用kinect读取视频数据，对人物对象进行皮肤检测生成视频动画，利用opencv2.4.9和vs2012-Use kinect reads the video data of human subjects were skin-detection-generated video animation
Skin
- Skin Region Detection
SkinSegmentation
- It is a skin detection and segmention in Matlab.It can run normally.
SKIN-CANCER-DETECTION
- Skin cancer detection using geocentric method in matlab..it contains input images.and it is useful to detect the centre of the affected area of skin cancer. it is essential to know the centre to treat the skin cancer.
double-ellipses-skin-color-model
- 在复杂背景下双椭圆模型结合在CbCr和CgCr平面内体现的肤色聚集性和集中性的检测效果要比单高斯模型的效果好。在YCbCr和YCgCr颜色空间中，虽然Y分量和Cb、Cr、Cg分量表示的性质看似是相互独立的，但它们都是建立在红、绿、蓝三个基本颜色分量值的基础上算出来，因此它们之间仍然存在着千丝万缕的关系。根据肤色在两种色彩空间中体现出的聚集性提出CbCr-CgCr双椭圆肤色模型-Good background in complex dual oval model incorporated with
SkinColorDetection-master
- 皮肤检测算法源码，c++实现，采用四种不同策略提取皮肤部分。-Skin detection algorithm source code, c++ implementation, using four different strategies to extract part of the skin.
skin-color-detection
- opencv 进行肤色检测，可以有效去除眼部，效果明显-opencv skin color detection, the eye can be effectively removed, the effect is obvious
has
- 皮肤探测,在matlab下实现 利用HSI颜色来探测皮肤位置,在人物图片中已经做了大量测试-Skin detection, under the matlab implementation using HSI color to detect position of skin, has done a lot of testing in the characters in the picture
dale
- 皮肤探测,在matlab下实现 利用HSI颜色来探测皮肤位置,在人物图片中已经做了大量测试-Skin detection, under the matlab implementation using HSI color to detect position of skin, has done a lot of testing in the characters in the picture
SkinDetection
- 基于Opencv实现的皮肤检测，可供初学者参考参考-Skin detection project based on opencv lib, it is doog for freshman to study opencv
手势实现播放器的进度和音量调节
- 我的工程用的红外摄像头。如果你用RGB摄像头，要将Segmentation部分替换，可以参考网上的HSV肤色检测程序。(My project uses an infrared camera. If you want to replace Segmentation with a RGB camera, you can refer to the HSV skin detection program on the internet.)
tnn7_code_201212141110
- 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
imlmemeutation
- 皮肤探测,在matlab下实现 利用HSI颜色来探测皮肤位置,在人物图片中已经做了大量测试(Skin detection, under the matlab implementation using HSI color to detect position of skin, has done a lot of testing in the characters in the picture)
face_recog
- windows环境下，用matlab语言实现了皮肤检测的功能(Windows environment, using MATLAB language to achieve the skin detection function)
face_recog5
- windows环境下，用matlab语言实现了皮肤检测的功能((Windows environment, using MATLAB language to achieve the skin detection function))
Face-Detection-and-Skin-Retouching-master
- 人脸检测和皮肤美化，基于OpenCV库，用vc++编写，功能十分强大。(Face detection and skin beautification)
Detection-system-of-skin-diseases-using-image-processing-master
- To classify four types of skin diseases such as Dermatitis, Melanoma, Diabetic foot ulcer, Impetigo,2 types of ML algorithms KNN and SVM are used. To get a visual representation of classifier output the ROC curve is plotted. To measure the performanc