Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre - processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information Platform: |
Size: 2281758 |
Author:陈万通 |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information Platform: |
Size: 2281472 |
Author:陈万通 |
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Description: 基于一篇人脸图像增强的文章，得出的算法，其中包含好几种算法可以提供比较。-Based on a human face image enhancement articles derived algorithm, which contains several algorithms can provide a relatively. Platform: |
Size: 1024 |
Author:wang |
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Description: this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre - processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information Platform: |
Size: 816128 |
Author:WGxin |
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Description: 神经网络的人脸识别 有错误 不知道怎么改-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information Platform: |
Size: 515072 |
Author:黎景振 |
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Description: 基于形态学商图像的光照归一化算法.复杂光照条件下的人脸／P,~J1是一个困难但需迫切解决的问题，为此提出了一种有效的光照归一化算法．
该方法根据面部光照特点，基于数学形态学和商图像技术对各种光照条件下的人脸图像进行归一化处理，并且将它
发展到动态地估计光照强度，进一步增强消除光照和保留特征的效果．与传统的技术相比，该方法无须训练数据集以
及假定光源位置，并且每人只需一幅注册图像，在耶鲁人脸图像库B上的测试表明，该算法以较小的计算代价取得了
优良的识别性能．-Face recognition under complex illumination conditions is still an open question．To cope with the
problem ，this paper proposes an effective illumination normalization method．The proposed method employs
morphology and quotient image techniques by analyzing the face illumination，and it is upgraded with dynamical
lighting estimation technique to strengthen illumination compensation and feature enhancement．Compared with
traditional approaches，this method doesn’t need any training data and any assumption on the light conditions，
moreover，the enrollment requires only one image for each subject．The proposed methods are evaluated on Yale
Face database B and receive a very competitive recognition rate with low computational cost． Platform: |
Size: 299008 |
Author:郭事业 |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作。-The main content of this issue is image preprocessing, it is mainly to get from the camera face images and then processed in order to improve the accuracy of positioning and identification. The module consists mainly of light compensation, gray image, Gaussian smoothing, balanced histogram, image contrast enhancement, image preprocessing module in the system plays a crucial role in image processing a direct impact on the back of the positioning and identification of the work. Platform: |
Size: 496640 |
Author:文龙 |
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Description: 对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到
特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式
识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive edge detection, image enhancement approach to be characteristic image, the feature area selection, based on prior knowledge of face matching the best human eye extracted eye feature vectors, combined with LVQ neural network pattern recognition detection of eye condition, to determine whether driver fatigue is provided in the criterion. Platform: |
Size: 106496 |
Author:廖减员 |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作-The main content of the subject image preprocessing, mainly from the camera to obtain images Face then be processed in order to improve the positioning accuracy and identify the module consists mainly of light compensation, Grayhound, Gaussian smoothing, histogram equalization image contrast enhancement, image pre-processing module plays a crucial role in the whole system, image processing a direct impact on the back of positioning and identification Platform: |
Size: 1376256 |
Author:风飞 |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料 -Image pre-processing is the main content of this topic, it is mainly for face images from the camera and then processed, in order to improve the accuracy of the location and identification of the module includes a light compensation, the image gray, Gaussian smoothing, histogram equalization image contrast enhancement, image pre-processing module in the whole system plays a crucial role in image processing have a direct impact with the back to locate and identify, within the source code and all the paper information Platform: |
Size: 2295808 |
Author:xdj |
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Description: this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact,this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact Platform: |
Size: 2285568 |
Author:phuong |
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Description: 基于C#编写的人脸识别系统，首先进行人脸图片的预处理，包括：标记人脸区域，光照补偿，灰度化，高斯平滑，直方图均衡化处理，对比度增强，二值化变换，去除孤立点等操作，然后标记人脸特征点，提取特征信息，与数据库中信息比较进行识别-Written in C#-based face recognition system, the first face image preprocessing, including: labeled human face region, illumination compensation, graying, Gaussian smoothing, histogram equalization, contrast enhancement, binarization transformation to removeisolated point operation, and then mark the facial feature points extracted feature information compared with the information in the database to identify Platform: |
Size: 5063680 |
Author:王华伟 |
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Description: A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping functions to each image’s characteristics to produce the maximum enhancement. We analyze the contrast of the image in the boundary and textured regions, and group the information with common characteristics. These groups model the relations within the image, from which we extract the transformation functions. The results are then adaptively mixed, by considering the human vision system characteristics, to boost the details in the image. Results show that the algorithm can automatically process a wide range of images—e.g., mixed shadow and bright areas, outdoor and indoor lighting, and face images—without introducing artifacts, which is an improvement over many existing methods. Platform: |
Size: 6134784 |
Author:michael |
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Description: 包含很完整基础的图像处理和人脸识别！有人脸识别的各种预处理，例如几何变换、灰度变换、图像空余增强（高斯噪声、锐化、平均等）图像频域增强（各种变换和滤波）、腐蚀、膨胀、图像分割与检测-Contains a very complete basic image processing and recognition! There are various pre-recognition, such as geometric transformation, gray transformation, image enhancement spare (Gaussian noise, sharpen, average, etc.) frequency-domain image enhancement (various transformation and filtering), corrosion, expansion, image segmentation and detection Platform: |
Size: 4880384 |
Author:去雷 |
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Description: 包含几何变换，灰度变换，空域增强频域增强等图像处理的基本操作，以及图像形态学和图像分割的操作，还包含人脸检测的简单操作-Including geometric transformation, gray scale transformation, spatial enhancement and other image processing operations, as well as the operation of image segmentation and image segmentation, but also contains a simple face detection Platform: |
Size: 4854784 |
Author:林科兴 |
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Search - face image enhancement