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基于ORB特征描述子与随机森林的条码缺陷识别算法 被引量:7
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作者 原渊 《国外电子测量技术》 2019年第7期61-64,共4页
为了解决当前工业条码缺陷种类多,导致其识别算法识别力不足的问题,提出了基于肤色模型与颜色空间的目标识别算法。首先,基于霍夫线变换,计算旋转矩阵,对图像进行仿射变换,得到标准化图像;然后,建立ORB特征点描述算子,定位包含条码的图... 为了解决当前工业条码缺陷种类多,导致其识别算法识别力不足的问题,提出了基于肤色模型与颜色空间的目标识别算法。首先,基于霍夫线变换,计算旋转矩阵,对图像进行仿射变换,得到标准化图像;然后,建立ORB特征点描述算子,定位包含条码的图像区域,并提取灰度特征与纹理特征;最后,融合特征集与人工标注,基于随机森林算法训练出分类器,区分正常条码与缺陷条码,准确识别缺陷种类。整个算法的底层函数由C++语言自主开发和OpenCV函数调用组成,以软件工程的形式编程实现,实验测试结果表明,与当前主流缺陷识别技术相比,该算法拥有更高的识别正确性与鲁棒性。 展开更多
关键词 霍夫线变换 仿射变换 ORB特征 随机森林 缺陷识别
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Local Spiral Curves Simulating Based on Hough Transformation and Center Auto-Locating of Developing Typhoon 被引量:1
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作者 王萍 郭传澍 罗颖昕 《Transactions of Tianjin University》 EI CAS 2006年第2期142-146,共5页
In the developing phase of typhoon formation, the spiral belt partly emerges in satellite cloud images. This research starts from images and moves on to graphics and then to representation and recognition. Following t... In the developing phase of typhoon formation, the spiral belt partly emerges in satellite cloud images. This research starts from images and moves on to graphics and then to representation and recognition. Following this route, local spiral cloud belt is segmented from the raw images using image segmentation, the spiral information is extracted using mathematic morphology, and local spiral curves are detected using Hough transformation. The problem of center locating of developing typhoon has finally been solved through a search algorithm of spiral curve. For No. 99082008 cloud image, the result produced by the algorithm in this paper is at 122..3 degree west longitude, 117.5 degree north latitude. The real typhoon center location was at 122.4 degree west longitude, 18 degree north latitude. 展开更多
关键词 Hough transformation spiral curve simulating infrared satellite cloud images center locating of developing typhoon
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Non-Metric CCD Camera Calibration Algorithm in a Digital Photogrammetry System 被引量:4
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作者 YANG Hua-chao DENG Ka-zhong ZHANG Shu-bi GUO Guang-li ZHOU Ming 《Journal of China University of Mining and Technology》 EI 2006年第2期119-122,共4页
Camera calibration is a critical process in photogrammetry and a necessary step to acquire 3D information from a 2D image. In this paper, a flexible approach for CCD camera calibration using 2D direct linear transform... Camera calibration is a critical process in photogrammetry and a necessary step to acquire 3D information from a 2D image. In this paper, a flexible approach for CCD camera calibration using 2D direct linear transformation (DLT) and bundle adjustment is proposed. The proposed approach assumes that the camera interior orientation elements are known, and addresses a new closed form solution in planar object space based on homogenous coordinate representation and matrix factorization. Homogeneous coordinate representation offers a direct matrix correspondence between the parameters of the 2D DLT and the collinearity equation. The matrix factorization starts by recovering the elements of the rotation matrix and then solving for the camera position with the collinearity equation. Camera calibration with high precision is addressed by bundle adjustment using the initial values of the camera orientation elements. The results show that the calibration precision of principal point and focal length is about 0.2 and 0.3 pixels respectivelv, which can meet the requirements of close-range photogrammetry with high accuracy. 展开更多
关键词 direct linear transformation collinearity equation bundle adjustment camera calibration Hough transformation
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