Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Qi-Rong Zhang"'
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundsThe aim of this study was to investigate the sexual function status of young breast cancer patients during endocrine therapy, identify potential categories of sexual function status, and analyze the factors affecting the potential categori
Externí odkaz:
https://doaj.org/article/6a9c14a1aa35494facad586bc4aa0db1
Autor:
Qi Rong Zhang
Publikováno v:
Advanced Materials Research. :1838-1842
In this paper, we propose a new face recognition approach for image feature extraction named two-dimensional parameter principal component analysis (2DPPCA). Two-dimensional principal component analysis (2DPCA) is widely used in face recognition. We
Publikováno v:
Applied Mechanics and Materials. :452-457
Li et al. [Pattern Recognition 41 (2008) 3287 -- 329 proposed the constrained maximum variance mapping method. The CMVM is globally maximizing the distances between different manifolds. We find out that globally minimizing the distances between the s
Publikováno v:
MATEC Web of Conferences, Vol 63, p 01005 (2016)
Through OpenCV function, the cherry in a natural environment image after image preprocessing, color recognition, threshold segmentation, morphological filtering, edge detection, circle Hough transform, you can draw the cherry’s center and circular
Publikováno v:
MATEC Web of Conferences, Vol 63, p 05017 (2016)
This paper analyzes the necessity of cherry picking robot vision recognition system. It introduces the system function and the system structure, and provides the system operation environment, the development platform and the database design. This pap
Publikováno v:
MATEC Web of Conferences, Vol 63, p 04006 (2016)
The relative entropy is least sensitive to noise. In this paper, we propose the improved relative entropy for face recognition (IRE). The IRE method of recognition rate is far higher than the LDA, LPP method, by experimental results on CMU PIE face d
Autor:
Qi Rong Zhang, Zhong Shi He
Publikováno v:
Advanced Materials Research. :391-398
In this paper, we propose a new face recognition approach for image feature extraction named two-dimensional locality discriminant preserving projections (2DLDPP). Two-dimensional locality preserving projections (2DLPP) can direct on 2D image matrixe
Publikováno v:
MATEC Web of Conferences; 7/12/2016, Vol. 63, p1-4, 4p
Publikováno v:
MATEC Web of Conferences; 7/12/2016, Vol. 63, p1-3, 3p