[1]樊一娜,郎波.一种利用轮廓朝向特征进行形状匹配的方法[J].计算机技术与发展,2018,28(04):82-86.[doi:10.3969/ j. issn.1673-629X.2018.04.017]
　FAN Yi-na,LANG Bo.An Object Shape-matching Method Using Contour Orientation Feature[J].,2018,28(04):82-86.[doi:10.3969/ j. issn.1673-629X.2018.04.017]
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一种利用轮廓朝向特征进行形状匹配的方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年04期
页码:
82-86
栏目:
智能、算法、系统工程
出版日期:
2018-04-10

文章信息/Info

Title:
An Object Shape-matching Method Using Contour Orientation Feature
文章编号:
1673-629X(2018)04-0082-05
作者:
樊一娜; 郎波
北京师范大学珠海分校 信息技术学院,广东 珠海 519087
Author(s):
FAN Yi-na; LANG Bo
School of Information Technology,Beijing Normal University,Zhuhai,Zhuhai 519087,China
关键词:
朝向特征; 形状特征; 上下文信息; 物体识别
Keywords:
orientation feature; shape feature; contextual information; object recognition
分类号:
TP301
DOI:
10.3969/ j. issn.1673-629X.2018.04.017
文献标志码:
A
摘要:
目前大多数基于形状的物体识别模型中,最大难题就是如何有效应对物体尺度的变化。 对此提出一种图像的方向检测算法。 该算法能够从复杂图像提取出满意的方向图。 与传统算法得到的边缘图、直线图等相比,方向图突出显著语义特征而抑制琐碎干扰信息,更接近物体的真实轮廓图。 在此基础上,结合物体的“朝向特征”和“形状特征”,设计了一个基于形状匹配的物体识别模型。 其中形状特征利用线段之间的角度信息来保证物体尺度的稳定性,朝向特征是通过视觉通路中的简单细胞和复杂细胞的感受野获得,它与自适应的上下文信息整合在一起,适用于具有复杂背景信息的物体的形状匹配。 实验结果表明,在 ETZH 图库测试的基础上,该模型能够有效提高识别的效率。
Abstract:
At present,the biggest challenge is how to deal with changes of object scale effectively in most of the shape-based object recognition model. In this paper,we put forward an algorithm of detecting orientations in digital images,which can extract satisfactory orientation maps from complex images. Compared with the edge/ line maps obtained by traditional algorithms,the orientation maps highlight salient semantic features,while suppressing trivial distractions. Moreover,they are closer to the real contour maps of objects. With the pro-
posed model of orientation computation,we design an object recognition model based on shape matching,which combines the “orientation feature” and “shape feature”. The shape feature utilizes the angle information between the line segments to ensure the stability of the object scale. The orientation feature is obtained through the receptive field of simple cells and complex cells in visual pathway,which are integrated with adaptive contextual information for the shape matching of objects with complex background information. The experiments show that the model proposed can improve the efficiency of recognition on the basis of ETZH image library.

相似文献/References:

[1]付玮 曾接贤.基于形状特征的图像检索技术研究[J].计算机技术与发展,2007,(11):228.
　FU Wei,ZENG Jie-xian.Research of Shape - Based Image Retrieval[J].,2007,(04):228.
[2]柳伯超 秦茂玲 刘弘.一种基于分布的形状特征描述子[J].计算机技术与发展,2007,(12):86.
　LIU Bo-chao,QIN Mao-ling,LIU Hong.An Image Shape Feature Retrieve Based on Distributing[J].,2007,(04):86.
[3]刘睿欣,陈后金,李居朋,等.改进标记分水岭的乳腺X线图像肿块检测方法[J].计算机技术与发展,2014,24(06):19.
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更新日期/Last Update: 2018-06-07