基于两尺度自卷积的直方图仿射不变量提取方法

doi:10.3969/j.issn.1000-436x.2012.12.018

Abstract

Abstract:

A two-scale auto-convolution histogram affine invariant was proposed.A two-scale auto-convolution transformation was established based on the new image generated by two-dimensional linear transform of image coordinates.Then the value of the new image density function is transformed into the histogram intervals partition and the proposed histogram affine invariant is obtained.In addition,the possible parameter ranges of the new invari are analyzed and the detailed deduction is given.By using the classic "fish"and "coil-100"test database,the effectiveness of the proposed invariant is verified by comparing to the multi-scale auto-convolution normalized histogram affine invariants from the perspective of time efficiency,anti-image distortion,and anti-viewing angle changes.

Key words: object recognition, affine invariant, auto-convolution, histogram

Bo HUANG,Xiao-hui ZHAO,Xin-yan CAO,Ji-yin ZHAO,Gong-tao SHI. Histogram affine invariants extraction method based on two-scale auto-convolution[J]. Journal on Communications, 2012, 33(12): 140-146.

Figures/Tables 8

References 16

[1]	HU M K . Visual pattern recognition by moment invariant[J]. IEEE Trans on Information Theory, 1962,8(2): 179-187.
[2]	TEAGUE M R . Image analysis via the general theory of moments[J]. Journal of Optimal Society of American, 1980,70(8): 920-930.
[3]	ZAHN C T , ROSKIES R Z . Fourier descriptors for plane closed curves[J]. IEEE Transactions on Computers, 1972,21(3): 269-281.
[4]	RAHTU E , HEIKKIL? J . Object classification with multi-scale autoconvolution[A]. Proc of the 17th International Conference on Pattern Recognition[C]. Cambridge, 2004. 37-40.
[5]	RAHTU E , SALO M , HEIKKIL? J . Affine invariant pattern gnition using multi-scale autoconvolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005,27(6): 908-918.
[6]	RAHTU E . Generalized affine moment invariants for object recognition[A]. Proc 18th International Conference on Pattern Recognition[C]. Hong Kong,China, 2006. 634-637.
[7]	RAHTU E , SALO M , HEIKKIL? J . Multiscale autoconvolution histograms for affine invariant pattern recognition[A]. Proc 16th British Machine Vision Conference[C]. Edinburgh, 2006. 1039-1048.
[8]	张洁玉, 陈强, 白小晶 ,等. 基于广义典型相关分析的仿射不变特征提取方法[J]. 电子与信息学报, 2009,31(10): 2465-2469. ZHANG J Y , CHEN Q , BAI X J ,et al. Affine invariant feature extraction algorithm based on generalized canonical correlation analysis[J]. Journal of Electronics ＆Information Technology, 2009,31(10): 2465-2469.
[9]	张洁玉, 陈强, 白小晶 ,等. 仿射不变的多尺度自卷积熵提取方法[J]. 计算机辅助设计与图形学报, 2009,21(9): 1328-1332. ZHANG J Y , CHEN Q , BAI X J ,et al. Affine invariant feature extraction based on multi-scale auto- convolution entropy[J]. Journal of Computer-Aided Design ＆Computer Graphics, 2009,21(9): 1328-1332.
[10]	黄波, 赵继印, 郑蕊蕊 ,等. 基于多尺度自卷积归一化直方图的仿射不变量模式识别[J]. 电子学报, 2011,39(1): 64-69. HUNG B , ZHAO J Y , ZHENG R R ,et al. Affine invariant pattern recognition based on multiscale autoconvolution normal zed histograms[J]. Acta Electronica Sinica, 2011,39(1): 64-69.
[11]	谢锦, 蔡自兴, 唐琎 . 基于MSA不变矩的道路导向标线分类[J]. 中国图象图形学报, 2011,16(8): 1418-1423. XIE J , CAI Z X , TANG J . Road oriented marking classifi ion based on MSA invariant moment[J]. Journal of Image and Graph, 2011,16(8): 1418-1423.
[12]	纪华, 韩广良, 陈小林 ,等. 基于MSA直方图的景象匹配算法研究[J]. 激光与红外, 2009,39(7): 788-792. JI H , HAN G L , CHEN X L ,et al. Study on scene matching algorithm based on MSA histogram[J]. Laser ＆Infrared, 2009,39(7): 788-792.
[13]	雷琳, 蔡红苹, 唐涛 ,等. 基于MSA特征的遥感图像多目标关联算法[J]. 遥感学报, 2008,12(4): 586-592. LEI L , CAI H P , TANG T ,et al. A MSA feature-based multiple targets association algorithm in remote sensing images[J]. Journal of Remote Sensing, 2008,12(4): 586-592.
[14]	KANNALA J , RAHTU E , HEIKKIL? J . Affine registration with multi-scale autoconvolution[A]. Proc International Conference on Image Processing[C]. Genoa, 2005. 1064-1067.
[15]	ALEXANDER K , MARIA P . The trace transform and its application[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005,23(8): 811-828.
[16]	Columbia University . Coil-100 image database[EB/OL]. , 2010.

Metrics

Recommended 0

No Suggested Reading articles found!

算法名称	高斯噪声方差v										平均值
算法名称	0.01	0.02	0.03	0.04	0.05	0.06	0.07	0.08	0.09	0.1	平均值
1-不变量	99.3	100	100	98.7	99.3	98.7	98.0	94.0	92.7	92.0	97.3
TSAH3	100	100	100	100	100	99.3	100	98.7	97.3	96.7	99.2
TSAH20	100	100	100	100	99.3	99.3	100	100	98.7	100	99.7

算法名称	遮挡尺寸d						平均值
算法名称	5	10	15	20	25	30	平均值
1-不变量	99.3	98.0	94.0	82.7	68.0	58.7	83.4
TSAH3	100	98.7	96.7	92.7	82.0	67.3	89.6
TSAH20	100	100	95.3	90.0	78.0	68.0	88.6

算法名称	亮度变化c							平均值
算法名称	-27	-18	-9	0	+9	+18	+27	平均值
1-不变量	87.3	98.7	100	100	99.3	99.3	93.3	96.8
TSAH3	96.7	100	100	100	100	100	98.7	99.3
TSAH20	99.3	100	100	100	100	99.3	93.3	99.8

算法名称	亮度值变化斜率s							平均值
算法名称	0.03	0.06	0.09	0.12	0.15	0.18	0.21	平均值
1-不变量	100	100	100	96.7	95.3	92.0	86.7	95.8
TSAH3	100	100	100	99.3	99.3	96.7	95.3	98.8
TSAH20	100	100	99.3	97.3	95.3	94.0	86.7	96.1

Histogram affine invariants extraction method based on two-scale auto-convolution

RichHTML

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 8

References 16

Related Articles 6

Metrics

Recommended 0

[1]	Hongguang LI, Ying GUO, Ping SUI, Zisen QI. Frequency hopping modulation recognition based on time-frequency energy spectrum texture feature [J]. Journal on Communications, 2019, 40(10): 20-29.
[2]	Yan-jun WEI,Bo-qin FENG,Wei-guo WU. Multi-threshold algorithm about image segmentation based on polynomial uniform approximation [J]. Journal on Communications, 2016, 37(10): 56-64.
[3]	Xiao-hong DENG,Zhi-gang CHEN,Di-qing LIANG,Yi-min MAO. Region-based lossless data hiding with high capacity for medical images [J]. Journal on Communications, 2015, 36(1): 189-198.
[4]	Wen-fei CHEN,Bin LIAO,Xue-feng XU,Zhi-yong HUANG,ONGWen-yong D. Piecewise histogram equalization based image enhancement [J]. Journal on Communications, 2011, 32(9): 153-160.
[5]	Hai-ying GAO. Steganalysis of quantization index modulation steganography based on the nonuniform DCT [J]. Journal on Communications, 2011, 32(11A): 209-212.
[6]	Yi-quan WU,Zhe PAN,Wen-yi WU. Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm [J]. Journal on Communications, 2008, 29(4): 77-84.