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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
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基于识别反馈机制的多粘连字符分割与识别
验证码识别相关资料,主讲字符分割-Feedback mechanism based on recognition of multi-adhesion character segmentation and recognition verification code to identify the relevant information, speaker character segmentation
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本程序实现的是文字识别中的文字切分环节,用基于连通域的文字切分算法实现-This procedure is the realization of the text character recognition segmentation aspect connected with the text-based segmentation algorithm
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基于openCV的手势检测与识别代码,其中使用了基于颜色的分割算法,如果结合运动检测和减背景方法,算法将会更加稳健。-Hand gesture detection and recognition using openCV and the color based segmentation method. If, combinned with motion detection and background substraction, it supposes to be robuster.
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人脸检测,人眼检测,基于区域生长的图像分割-Face detection, eye detection, image segmentation based on region growing
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智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌
区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license pla
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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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这是一个基于神经网络的车牌定位与识别系统!包括车牌的定位,二值话,分割,识别等等。-This is a neural network-based license plate location and recognition system! Including the license plate of the positioning of two values, the segmentation, identification and so on.
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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
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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
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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
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基于matlab的车牌定位和分割,能够良好的分割和定位汽车车牌-Matlab-based license plate location and segmentation, to a good vehicle license plate segmentation and positioning
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车牌图像分割和提取,(基于sobel算子的边缘分割)-License plate image segmentation and extraction, (based on the edge of the sobel operator split)
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基于肤色分割的人脸检测,有肤色分割,排除假区域,特征验证
-Color segmentation based on face detection, color segmentation there, removal leave the region, feature verification
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基于一种新的二值化优化方法 与 实现:综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method
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一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机(LS-SVM)的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法:首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
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设计了一种基于图像分块的LDA(1inear discriminant an sis)人脸识别方法-A method of LDA for face recognition is presented, based on image segmentation.
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The major problem with machine printed Arabic character segmentation is the shape of the letter depending on its
location in the word. In this paper, a new machine printed Arabic character segmentation algorithm, which is based on
the vertical hi
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SegmentIt: Watershed Based Image Segmentation Tool. This interactive segmentation tool allows to switch back and forth between the watershed approaches (watershedSegmentIt: Watershed Based Image Segmentation Tool.
-SegmentIt: Watershed Based Image
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基于正交矩的纹理分割,介绍了旋转矩,正交矩,ledengre矩等。-Texture segmentation based on orthogonal moments, rotational moments, orthogonal moments, ledengre moment and so on.
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基于马尔科夫随机场的图像分割matlab源码,包括ICM迭代条件模式-Image segmentation based on markov random field of matlab source, including ICM iterative conditional mode
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基于马尔科夫随机场的图像分割matlab源码,包括ICM迭代条件模式(Image segmentation based on markov random field of matlab source, including ICM iterative conditional mode)
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