Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yiwen Dou"'
Publikováno v:
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
Under low illumination environment, the image captured by ordinary visual capture equipment has fuzzy details resulting in low recognition rate. Meanwhile, traditional enhancement algorithm has defects in noise amplification, color distortion and low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23abd7bcc8aff93abd6b0f1d7f005487
https://doi.org/10.1109/ihmsc52134.2021.00058
https://doi.org/10.1109/ihmsc52134.2021.00058
Publikováno v:
2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
The purpose of low resolution face recognition (LRFR) is to recognize faces from small or low-quality images with different poses, illumination and expressions. However, the recognition effect of LRFR is not ideal under uncontrolled conditions. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::310139b8c76f5622318273719907ec6a
https://doi.org/10.1109/iaeac50856.2021.9390821
https://doi.org/10.1109/iaeac50856.2021.9390821
Publikováno v:
2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In view of solving the color distortion and non-conformity with subjective feeling in gray image coloring, a new coloring algorithm for gray image based on automatic content correlation is proposed in this paper. First, the feature points of the colo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5a0f13299ded5f33ef1110971fd3e0
https://doi.org/10.1109/ihmsc49165.2020.10089
https://doi.org/10.1109/ihmsc49165.2020.10089
Publikováno v:
2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
Due to the harsh environment and the lack of light at night and other reasons, the images we collect often have problems such as low contrast, serious loss of detail information and so on. In order to solve this problem, firstly, we optimize the trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44564ebe845aab3ebf6f6f07cee19847
https://doi.org/10.1109/ihmsc49165.2020.10134
https://doi.org/10.1109/ihmsc49165.2020.10134
Publikováno v:
ISCID (2)
Objects edge extraction under low illumination image is helpful to enhance the scotopic vision of human visual system. At present, the traditional edge detection algorithm can not find the important edge information under the low illumination image d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb2c3bac395f4593127ffda1ce0563c3
https://doi.org/10.1109/iscid.2018.10180
https://doi.org/10.1109/iscid.2018.10180
Autor:
Yiwen Dou, Gang Zheng
Publikováno v:
2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In this paper, a unified frame of object extraction under complex background is proposed according to the empirical mode decomposition (EMD), saliency model and Snakes model. It aims to reduce the computational complexity of the object extraction und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13cd416a0f3c4fe908873c7877958e8d
https://doi.org/10.1109/ihmsc.2018.00094
https://doi.org/10.1109/ihmsc.2018.00094
Publikováno v:
2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
This paper proposed a novel scheme which gives mathematical description of 2D/3D measurement and includes two visual detection strategies with switching method by Hu moment. On the six degree of freedom serial robot, a rigid planar patch is overlaid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c44cee4826312638d07da3d726f8e35
https://doi.org/10.1109/ihmsc.2017.159
https://doi.org/10.1109/ihmsc.2017.159
Publikováno v:
2017 2nd International Conference on Image, Vision and Computing (ICIVC).
This paper presents an iteration self-adapting color image enhancement algorithm to extract visual attention focus in accuracy. Initially, the color space should be translated from RGB to YCbCr where the iteration image enhancement model is deduced i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5bb1e157a5f353b539e4ce9212d705c
https://doi.org/10.1109/icivc.2017.7984566
https://doi.org/10.1109/icivc.2017.7984566
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319607528
Texture image feature extraction is one of hot topics of texture image recognition in recent years. As to this, a novel technique for texture image feature extraction based on edge affine invariant moment is presented in this paper. Firstly, each tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b27085fc4ddedd5b1ac169aec55418a2
https://doi.org/10.1007/978-3-319-60753-5_9
https://doi.org/10.1007/978-3-319-60753-5_9
Publikováno v:
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems ISBN: 9789811026713
In this paper, we propose a novel feature correlation and fusion approach for multiple visual focuses content associational problem. Integrating various visual attention models to extract the visual focus of the image in the visual database, a weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a4d074058d9322e1e60bd9a002911d
https://doi.org/10.1007/978-981-10-2672-0_8
https://doi.org/10.1007/978-981-10-2672-0_8