共查询到19条相似文献,搜索用时 67 毫秒
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陈岩松 《红外与毫米波学报》1993,12(1):61-66
叙述了图像的不变矩特征量特有的三个性质,即当图像移动、转动与大小比例改变时保持其数值不变,提出用光电混合计算处理器提取图像的不变矩特征量,该处理器由全息掩膜、傅氏透镜、CCD探测器和微机组成。实验结果表明,6个印刷英文字母的不变矩特征量的确具有移动与转动的不变性,因而该处理器可以用于图像移动与转动的模式识别。 相似文献
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基于不变矩特征的图像识别 总被引:1,自引:0,他引:1
针对目标二维形状发生平移、旋转和尺度变换的情况,采用不变矩作为图像识别的特征量.图像灰度变化时,对应的直方图形状基本保持不变.将直方图的统计特征与不变矩相结合,提出了不变矩理论的图像识别方法.通过实验验证,这种方法对图像的亮度、对比度变化不敏感,可以有效地降低光照的影响,能够更准确地对图像进行识别. 相似文献
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为了快速而准确地识别出不同类的物体,提出基于修正不变矩和最小范数的物体识别方法,提取物体的不变矩和圆形度特征,利用泛函分析中的范数理论对不同形状的物体进行识别,方法简单,识别速度快,并且识别率较高.仿真结果表明该方法对物体的平移、旋转、缩放都具有不变性,从而验证了该方法的有效性. 相似文献
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图象匹配时矩的高效算法 总被引:1,自引:0,他引:1
用不变矩作为相似度度量进行图象匹配,可减少图象平移、旋转以及比例缩放对匹配性能的影响。但不变矩的计算量大,使匹配速度变慢。本文根据图象匹配的特点,提出了一种适用于图象匹配时的矩的增量算法—IACM算法。用此算法可大大提高用不变矩进行图象匹配的速度。 相似文献
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基于小波矩不变量的模式识别方法 总被引:18,自引:1,他引:17
为了得到一组局产最优的特征组,提出一种结合分散度和顺序前进法(SFS)的特征选择方法。实验结果表明小液矩不变量比Zernike矩不变量有更好的识别效果,尤其对于形体相似的物体,效果更明显。 相似文献
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Zhang Yanning Zheng Jiangbin Zhao Rongchun 《电子科学学刊(英文版)》2003,20(1):8-12
An efficient target recognition method for remote sensing image is proposed inthis paper, which is based on moment invariant and support vector machine. First, seven Hu'sinvariant moments are extracted as a feature vector. Then,a support vector machine is used torecognize targets of planes and ships on binary remote sensing images. The experimental results 相似文献
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一种基于不变矩和BP网络的目标识别方法 总被引:2,自引:0,他引:2
为了有效地提高旋转、尺度变化目标的识别率,首先提取目标图像的不变矩,以此作为目标识别的特征向量,然后利用将附加动量项与自适应学习速率相结合的改进BP算法实现对目标的分类识别.字符图像仿真实验表明,这种针对旋转、尺度变化目标的识别方法是有效的,可行的. 相似文献
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基于矩特征的三维飞机目标识别 总被引:5,自引:0,他引:5
本文介绍了利用矩特征从二维数字图像识别三维物体的方法。利用不变矩和标准矩对五种不同的飞机目标进行了识别,比较了这二种特征的性能,并且分析了特征数目对识别正确率的影响和矩特征在离散情况下的尺度拉伸不变性。研究结果表明利用三阶标准矩并结合方差平衡的特征处理技术可有效地实现对目标的识别。 相似文献
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Torres-Mendez L.A. Ruiz-Suarez J.C. Sucar L.E. Gomez G. 《IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews》2000,30(1):125-130
A method for object recognition that is invariant under translation, rotation and scaling is addressed. The first step of the method (pre-processing) takes into account the invariant properties of the normalized moment of inertia and a novel coding that extracts topological object characteristics. The second step (recognition) is achieved by using a holographic nearest-neighbor (HHN) algorithm, in which vectors obtained in the pre-processing step are used as inputs to it. The algorithm is tested in character recognition, using the 26 upper-case letters of the alphabet. Only four different orientations and one size (for each letter) were used for training. Recognition was tested with 17 different sizes and 14 rotations. The results are encouraging, since we achieved 98% correct recognition. Tolerance to boundary deformations and random noise was tested. Results for character recognition in “real” images of car plates are presented as well 相似文献
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Bin Xiao Jian-Feng MaJiang-Tao Cui 《Journal of Visual Communication and Image Representation》2012,23(2):381-386
Radial Tchebichef moments as discrete orthogonal moments in the polar coordinate have been successfully used in the field of image recognition. However, the scale invariant property of these moments has not been studied due to its complexity of the problem. In this paper, we present a method to construct a set of scale and rotation invariants extracted from radial Tchebichef moments, named radial Tchebichef moment invariants (RTMI). Experimental results show the efficiency and the robustness to noise of the proposed method for recognition tasks. 相似文献