期刊文献+

基于颜色聚合向量的线序检测方法 被引量:7

A Line Order Detected Method Based on Color Coherence Vector
下载PDF
导出
摘要 颜色聚合向量方法被采用于检测各种连接线的线序;首先对采集到的线束图像进行中值滤波,消除部分噪声;然后截取检测线束的检测区域图像并将其二值化;接下来分割各根导线,得到每根导线的轮廓,再根据各轮廓位置获取原图像中对应各导线的图像块,并计算各根导线图像块的颜色聚合向量(color coherence vector,CCV)特征;最后利用欧氏距离将各导线的归一化的CCV颜色特征和模板各导线的颜色特征进行比较。实验结果表明,该方法在线序检测中能获得较高的准确率(97.8%)和速度(15 fps),满足实时检测要求。 The color coherence vector method is used to detect the line order of various connection lines.Firstly,the collected image of the wire harness is filtered by median filter to eliminate the noise.Then,the image of the detection area of the wire harness is cropped and binarized.After that,each wire is segmented to get their contours.According to the position of each wire,the corresponding image blocks of each wire in the original image are extracted,and whose color coherence vector(CCV)features are calculated.Finally,the normalized CCV features of each detected wire and the features of each wire in the template are compared by using Euclidean distance.The experimental results show that the proposed method can achieve high accuracy(97.8%)and speed(15fps)in the line order detection,and meets the real-time detection requirements.
作者 吴宗胜 薛茹 Wu Zongsheng;Xue Ru(School of Computer Science,Xianyang Normal University,Xianyang 712000,China;School of Information Engineering,Xizang Minzu University,Xianyang 712000,China)
出处 《计算机测量与控制》 2019年第6期182-185,共4页 Computer Measurement &Control
基金 陕西省科技厅自然科学基础研究计划面上项目(2017JM6086) 咸阳师范学院专项科研基金项目(XSYK18012) 陕西省教育科学“十三五”规划项目(SGH18H373)
关键词 线序检测 颜色聚合向量 特征提取 line order detection color coherence vector(CCV) feature extraction
  • 相关文献

参考文献6

二级参考文献43

  • 1金敏,徐守时,汪行.不变矩在模式识别中的应用研究[J].计算机工程与应用,2004,40(25):65-67. 被引量:16
  • 2董卫军,周明全,耿国华.基于纹理-空间关系的图像检索技术[J].计算机工程与应用,2004,40(34):10-11. 被引量:8
  • 3冯玉才,程珺,聂晶,梁俊杰.一种新的基于颜色的图像检索算法[J].计算机工程与应用,2006,42(22):52-55. 被引量:4
  • 41,J Hatner, H S Sawheny, et al. Efficient color histogram indexing for quadratic form distance functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(7):729-735
  • 52,Myron Flickner, Harpreet Sawhney. Query by image and video content:the QBIC system. Computer, 1995, (9):23-32
  • 63,RIAIN V Funt, Graham D Finlayson. Color constant color indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(5):522-529
  • 74,A K Jain, A Vailaya. Image retrieval using color and shape. Pattern Recognition, 1996, 29(8):1233-1244
  • 8Hu Ming Kuei. Visual Pattern Recognition by Moment Invariants[J]. IRE Trans. on Information Theory, 1962, 8(2): 179-187.
  • 9Husser J, Suk T. Pattern Recognition by Affine Moment Invariants [J]. Pattern Recognition, 1993, 26( 1): 167-174.
  • 10Flusser J, Suk T. A Moment-based Approach to Registration of Images with Affine Geometric Distortion[J]. IEEE Trans. on Geoscience & Remote Sensing, 1994, 32(2): 382-387.

共引文献40

同被引文献42

引证文献7

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部