基于RFNA和改进LBD的镜像线特征匹配方法

doi:10.16180/j.cnki.issn1007-7820.2023.10.005

Abstract

Abstract:

In view of the matching problem between objects and mirrors in images, the RNFA(Relative Number of False Alarms)edge chain detection method is introduced to obtain richer line segments. An improved LBD(Line Band Descriptor) algorithm is proposed for constructing local invariant feature descriptors, and initial matching pairs are obtained by comparing local invariant feature descriptors. The screening of the global projection angle is adopted and the false matches in the initial matching pairs are eliminated fitting the projection center line. After the selection of the global projection angle and the fitting of the projection median are completed, the screening of the local invariant feature descriptor threshold is relaxed to obtain more matching pairs and improve the recall rate. The experimental results of image set simulation show that the designed algorithm can better identify line segments in the weaker texture regions and obtain more matching pairs on the basis of the guaranteed performance of the original algorithm, which can improve the correct matching rate by about 5% and achieve a recall rate of over 90%.

Key words: edge chain detection, RNFA, local invariant feature descriptor, improved LBD, line segment matching, mirror, image pyramid, feature extraction

CLC Number:

TP391.41

GAO Yuke,ZHANG Wei,HU Zhi,JIANG Pengwei. Line Segment Matching Based on RFNA and Improved LBD of Mirror Image[J].Electronic Science and Technology, 2023, 36(10): 32-38.

Figures/Tables 10

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References 19

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标题	MP	EP	MP	EP	MP	EP	MP	EP	MRA/%
图像	图6(a)		图6(b)		图6(c)		图6(d)
LBD	102	2	25	2	100	2	14	1	95.22
改进LBD	106	1	26	0	102	1	13	0	99.52
图像	图6(e)		图6(f)		图6(g)		图6(h)
LBD	24	1	23	1	45	3	28	0	96.20
改进LBD	25	2	25	1	45	0	28	0	97.00
图像	图6(i)		图6(j)		图6(k)		图6(l)
LBD	41	5	50	8	56	16	17	1	84.34
改进LBD	42	5	54	9	59	11	19	1	86.88
图像	图6(m)		图6(n)		图6(o)		图6(p)
LBD	90	11	68	14	48	3	29	2	88.51
改进LBD	114	3	73	7	45	2	34	2	94.36

标题	CMP	TMP	CMP	TMP	CMP	TMP	CMP	TMP	RCR/%
图像	图6(a)		图6(b)		图6 (c)		图6 (d)
本文算法	110	115	32	34	104	109	16	18	94.93
图像	图6 (e)		图6 (f)		图6 (g)		图6 (h)
本文算法	24	24	29	30	52	55	33	35	95.83
图像	图6 (i)		图6 (j)		图6 (k)		图6 (l)
本文算法	41	42	49	51	55	62	23	28	91.80
图像	图6 (m)		图6 (n)		图6 (o)		图6 (p)
本文算法	133	142	74	80	50	50	33	37	93.85

Line Segment Matching Based on RFNA and Improved LBD of Mirror Image

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