Zobrazeno 1 - 10
of 88
pro vyhledávání: '"JIANN-SHU LEE"'
Autor:
Jiann-Shu Lee, Wen-Kai Wu
Publikováno v:
Sensors, Vol 22, Iss 24, p 9838 (2022)
Inspired by the observation that pathologists pay more attention to the nuclei regions when analyzing pathological images, this study utilized soft segmentation to imitate the visual focus mechanism and proposed a new segmentation–classification jo
Externí odkaz:
https://doaj.org/article/1646efe05c8c407d91bf708e46ba1ffb
Autor:
Jiann-Shu Lee, Yao-Xian Ma
Publikováno v:
Sensors, Vol 22, Iss 3, p 1044 (2022)
This study proposes a new CycleGAN-based stain transfer model, called S3CGAN, equipped with a specialized color classifier structure. The specialized color classifier can assist the generative network to conquer the existing challenge in GANs, namely
Externí odkaz:
https://doaj.org/article/65d2f2c6f7644a45b2e6db986bf39c38
Publikováno v:
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).
Publikováno v:
ICMR
Object detection is a fundamental but very important task in computer vision. Most current algorithms require high computing resources, which hinders their deployment on embedded system. In this research, we propose a neural network model named Embed
Publikováno v:
Information Sciences. 435:69-93
Lighting variations are a challenge in face recognition. To overcome this problem, this paper proposes a novel illumination compensation method called adaptive singular value decomposition in the 2D discrete wavelet domain (ASVDW) to enhance face ima
Publikováno v:
Journal of Information Science & Engineering; Nov2021, Vol. 37 Issue 6, p1435-1448, 14p
Publikováno v:
Pattern Recognition. 57:31-49
Face recognition is still a challenging problem because of large intra-class variability, small inter-class variability, and the presence of lighting variation. To deal with these difficulties, an illumination compensation method, adaptive singular v
Publikováno v:
IEEE Sensors Journal. 16:4389-4396
This paper used a light field camera to capture two types of 3D hand posture depth images, contour hand posture and solid hand posture, without a complicated setup and superfluous preprocess. The images were captured under two recognition conditions:
Publikováno v:
IEEE Signal Processing Letters. 22:390-394
Fingerprint image enhancement is one of the most crucial steps in an automated fingerprint identification system. In this paper, an effective algorithm for fingerprint image quality improvement is proposed. The algorithm consists of two stages. The f
Publikováno v:
Applied Mathematics & Information Sciences. 8:2945-2953
The optimization of watermarked image fidelity and watermark robustness is an attractive research topic in image watermarking. In this paper, we propose a new image watermarking scheme based on multi-objective bees algorithm to promote watermarking r