Page 46 - Read Online
P. 46
Tang et al. Intell Robot 2022;2(2):13044 I http://dx.doi.org/10.20517/ir.2022.07 Page 144
10.14257/ijsh.2015.9.12.23]
42. Zhang X, Liu K, Wang X, Yu C, Zhang T. Moving Shadow Removal Algorithm Based on HSV Color Space. TELKOMNIKA 2014;12.
[DOI: 10.11591/telkomnika.v12i4.4991]
43. Zhang B, Jiao D, Lv X. A target detection algorithm for SAR images based on regional probability statistics and saliency analysis.
International Journal of Remote Sensing 2019;40:1394410. [DOI: 10.1080/01431161.2018.1524593]
44. Tian Y, Wang D, Jia P, Liu J. Moving Object Detection with ViBe and Texture Feature. In: Pacific Rim Conference on Multimedia. Xi’an,
China; 2016. pp. 150–59. [DOI: 10.1007/9783319488905_15]
45. Liu Z, Yin H, Mi Y, Pu M, Wang S. Shadow Removal by a LightnessGuided Network With Training on Unpaired Data. IEEE Trans
Image Process 2021;30:185365. [DOI: 10.1109/TIP.2020.3048677]
46. Hu X, Fu CW, Zhu L, Qin J, Heng PA. Directionaware spatial context features for shadow detection and removal. IEEE Trans Pattern
Anal Mach Intell 2020;42:2795808. [DOI: 10.1109/TPAMI.2019.2919616]
47. Huang W, Kim K, Yang Y, Kim YS. Automatic Shadow Removal by Illuminance in HSV Color Space. csit 2015;3:705. [DOI:
10.13189/csit.2015.030303]
48. Long Z, Zhou X, Zhang X, Wang R, Wu X. Recognition and classification of wire bonding joint via image feature and SVM model. IEEE
Trans Compon, Packag Manufact Technol 2019;9:9981006. [DOI: 10.1109/TCPMT.2019.2904282]
49. Goyette N, Jodoin PM, Porikli F, Konrad J, Ishwar P. Changedetection.net: A new change detection benchmark dataset. In: 2012
IEEE computer society conference on computer vision and pattern recognition workshops. Providence, RI, USA; 2012. pp. 1–8. [DOI:
10.1109/CVPRW.2012.6238919]
50. Zhang H, Qian Y, Wang Y, Chen R, Tian C. A ViBe Based Moving Targets Edge Detection Algorithm and Its Parallel Implementation.
Int J Parallel Prog 2020;48:890908. [DOI: 10.1007/s1076601900628z]
51. Zhang E, Li Y, Duan J. Moving object detection based on confidence factor and CSLBP features. The Imaging Science Journal
2016;64:25361. [DOI: 10.1080/13682199.2016.1168977]