共查询到20条相似文献,搜索用时 15 毫秒
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提出了一种应用于彩色图像的改进的Snake眼睛边缘检测算法.该算法首先将输入图像从RGB空间转换到YCbCr和YCb'Cr'空间,依据肤色点在Cb'Cr'空间中的聚类性提取人脸候选区域;然后通过在人脸候选区域上生成眼睛图(EyeMap)提取眼睛候选区域并计算候选区域Cr2图像的距离势能力场.采用两段首尾相连的抛物线进行初始化并从外部对Cr2图像的距离势能力场进行活动轮廓模型(Snake)匹配,在匹配过程中不断进行修正使检测结果更接近真实边缘.实验结果证明,该算法能精确地检测出眼睛的边缘并节省匹配时间. 相似文献
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基于神经网络的图像边缘检测方法 总被引:4,自引:3,他引:4
提出了一种基于神经网络的图像边缘检测新方法.该方法首先基于邻域灰度极值提取边界候选图像,然后以边界候选象素及其邻域象素的二值模式作为样本集,输入边缘检测神经网络进行训练.边缘检测神经网络采用BP网络,为加快网络的训练速度,采用了滚动训练和权值随机扰动的方法.实验表明,该方法提高了神经网络的学习效率,获得的边缘图像封闭性好,边缘描述真实. 相似文献
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关于图像边缘检测的 Laplace算子的改进 总被引:10,自引:6,他引:10
该文对图像边缘检测的 L aplace模板 ,增加 8个检测方向 ,并适当设置了权系数 ,改进了 Laplace算子 ,实验结果表明使用改进的 Laplace算子 ,图像边缘检测的效果得到了明显的改善 . 相似文献
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Jiangyan Xu Linning Ye Wang Luo 《International journal of imaging systems and technology》2010,20(4):354-358
This article presents a novel color edge detection algorithm based on quaternion convolution. A set of multiscale quaternion masks are presented, and the filtered results are multiplied at adjacent scales using dot product to enhance the edge structures while diluting noise. Experimental results show that the proposed method is efficient and robust for color images. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 354–358, 2010 相似文献
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基于变差函数的噪声图像的多尺度边缘检测 总被引:1,自引:0,他引:1
基于区域化变量理论,针对受噪声污染的图像,本文提出了一种基于变差函数的多尺度边缘检测新方法.该方法根据图像各个不同区域的数据的不同方向的变差函数值来判断该区域是否存在边缘以及边缘的方向性,然后根据该区域边缘的方向性,在水平和垂直方向分别进行不同尺度的小波变换,进而达到在确保边缘定位准确的同时,尽最大可能去除由于噪声以及图像灰度不均匀产生的伪边缘点.仿真实验表明,本文算法在对受高斯白噪声污染较严重的图像进行边缘检测时能有效的去除噪声对图像边缘检测的影响,从而证明了该方法的可行性、有效性. 相似文献
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一种尺度自适应Canny边缘检测方法 总被引:5,自引:1,他引:5
作为最优边缘检测算子,Canny算子在线性滤波及选取阈值方面具有一定的局限性.在其基础上,采用尺度可变的自适应高斯滤波器进行滤波,通过计算滤波器各滤波窗口内像素点灰度值的均值,以及该均值与当前像素点灰度值的差值,确定滤波窗口的平滑度,并将其作为高斯函数尺度的大小,在滤除噪声的同时确保了边缘信号不被平滑掉;同时采用基于简单统计法及梯度阚值法的双阈值分割方法检测经过非极大值抑制的梯度幅值图像的边缘.实验结果表明,该方法能够有效滤除噪声,且假边缘及丢失边缘的数量都比Canny边缘检测的少. 相似文献
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Kuo‐Cheng Liu 《International journal of imaging systems and technology》2009,19(4):332-339
Color‐edge detection is an important research task in the field of image processing. Efficient and accurate edge detection will lead to higher performance of subsequent image processing techniques, including image segmentation, object‐based image coding, and image retrieval. To improve the performance of color‐edge detection while considering that human eyes are ultimate receiver of color images, the perceptually insignificant edges should avoid being over‐detected. In this article, a color‐edge detection scheme based on the perceptual color contrast is proposed. The perceptual color contrast is defined as the visible color difference across an edge in the CIE‐Lab color space. A perceptual metric for measuring the visible color difference of a target color pixel is defined by utilizing the associated perceptually indistinguishable region. The perceptually indistinguishable region for each color pixel in the CIE‐Lab color space is estimated by the design of an experiment that considers the local property due to local changes in luminance. Simulation results show that the perceptual color contrast is effectively defined and the color edges in color images are detected while most of the perceptually insignificant edges are successfully suppressed through the proposed color‐edge detection scheme. © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 332–339, 2009 相似文献
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《成像科学杂志》2013,61(5):436-446
AbstractA novel hybrid technique of combining an improved morphological gradient operator and Zernike moments, named MGZ edge detection algorithm, is developed to meet the stringent requirements for measuring accuracies of charge coupled device metrology system. The mathematical morphological gradient and Zernike moment algorithm are discussed based on the pixels grey-scale and spatial structure information of the images. To improve the algorithm process, the image edge is oriented and extracted by using improved morphological gradient operator firstly; then, the calculation errors of the typical ideal step edge model are analysed and corrected by the proposed error compensation formula. The edge point is relocated with sub-pixel accuracy by means of Zernike moment operator based on the edge point vectors and the threshold value. Finally, the sub-pixel edge detecting of the image is attained. The extensive experimental results show that the measuring error of the edge point is compensated reliably and accurately, and the new algorithm has short operation time, more precise and stronger robustness to noise than the prior similar algorithms. Meanwhile, the proposed method can well meet the need of charge coupled device metrology system for sub-pixel edge detection. 相似文献
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为实现准确的三维场景匹配,提出了一种基于边缘线的三目立体匹配方法.Canny边缘是一种常用的视觉特征,通过对Canny算子加以改进,提高了边缘线条匹配的可靠性.匹配过程分层次进行,首先通过边缘上少量点的成功匹配确定边缘线条间的对应关系,然后以此来约束该边缘上其他点的匹配.详细介绍了对应特征匹配所用的约束条件.首先,使用三目系统中第三个摄像机提供的额外极线约束,有效地减少了误匹配.由于常规所用的三目极线约束条件给出的匹配效果并不理想,提出了另外一种更加有效的三目极线约束应用方法.此外还介绍了边缘点的梯度方向约束,给出了基于以上约束条件的边缘线匹配算法.实验结果表明,该算法具有较高的匹配正确率,是一种有效的立体匹配算法. 相似文献
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ABSTRACTThe cultivation of Lycium barbarum (L.barbarum) is a highly traditional and advantageous industry in Ningxia, China, and has strong development prospects. At present, the protection, fertilization, picking, and other production aspects of L.barbarum are generally inefficient and labor intensive, presenting a bottleneck that restricts the development of the industry. Developing intelligent production equipment in the form of a ‘general self-moving host platform + operation module’ is an urgent task for the healthy development of the L.barbarum industry. A self-planning, self-organizing, host platform must be able to perform adaptive navigation in complex unstructured environments. For this purpose, a method of edge detection that can distinguish between the plant column and soil is required. Using a color difference model with Otsu’s method for image segmentation, a corrected gradient image based on the marking method is employed to remove small noise regions and then perform edge detection. Experiments demonstrate that one particular color model offers strong adaptability for light and shadow, which is good for distinguishing between the plant column and soil. The proposed method can effectively detect the edges between the plant column and soil, laying the foundation for detecting a suitable path for a self-moving platform and visual navigation. 相似文献
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一种改进多尺度形态边缘检测算法 总被引:3,自引:0,他引:3
提出一种改进的多尺度形态边缘检测算法。用不同尺度大小的结构元素分别检测出图像的不同尺寸的边缘信息,运用本文提出的基于直方图配准的自适应方法对所获不同尺寸的图像边缘进行融合,获得理想的图像边缘,有效地消除了噪声。实验结果表明当图像中加入了强度超过20%的椒盐噪声后,检测到的边缘仍然非常清晰。 相似文献