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Your search keyword '"Zhu, Peiyi"' showing total 4 results
Start Over Author "Zhu, Peiyi" Topic image processing
4 results on '"Zhu, Peiyi"'

1. Multi-cell Contour Estimate Based on Ant Pheromone Intensity Field

Author

Chen, Qinglan, Xu, Benlian, Ren, Yayun, Lu, Mingli, Zhu, Peiyi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, and Coello, Carlos A. Coello, editor

Published
2014
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3. Quantitative analytical colloidal gold instrument using android smart phone

Author

Pan Shuo, Chou Yongxin, Zhu Peiyi, and Mao Limin

Subjects
Smart phone, Computer science, Colloidal gold, law, Feature vector, Real-time computing, Image acquisition, Word error rate, Image processing, STRIPS, Android (operating system), law.invention
Abstract

The colloidal gold rapid testing technology is easy to operate, low cost and convenient. Because of the above advantages, it is widely used in various fields, such as food safety testing, clinical diagnosis and environment pollution detection, etc. However traditional testing results will bring greater visual error, an Android-based hand-held analytical colloidal gold instrument was presented in this paper. The instrument can automatically obtain the colloidal gold image based on Android smart phone image acquisition platform, and then identify the color information of the test-line and the control-line based on the image processing research, finally the function relation between the feature vector and the concentration of the test substance solution was found to achieve quantitative analysis. Experimental results prove its stability and error rate of in quantitatively testing the colloidal gold strips.

Published
2017

4. Multi-task ant system for multi-object parameter estimation and its application in cell tracking.

Author

Xu, Benlian, Lu, Mingli, Ren, Yayun, Zhu, Peiyi, Shi, Jian, and Cheng, Dahai

Subjects
STOCHASTIC processes, PARAMETER estimation, IMAGE processing, ALGORITHMS, MATHEMATICAL models
Abstract

Inspired by ant's stochastic behavior in search for multiple food sources, we propose a cooperating multi-task ant system for tracking multiple synthetic objects as well as multiple real cells in a bio-medical field. In our framework, each ant colony is assumed and assigned to fulfill a given task to estimate the state of an object. Furthermore, two ant levels are used, i.e., ant individual level and ant cooperation level. In the ant individual level, ants within one colony perform independently, and the motion of each individual is probabilistically determined by both its intended motion modes and the likelihood function score. In the ant cooperation level, each ant adjusts individual state within its influence region according to heuristic information of all other ants within the same colony, while the global best template at current iteration is found among all ant colonies and utilized to update ant model probability, influence region, and probability of fulfilling task. Our algorithm is validated by comparing it to the-state-of-art algorithms, and specifically the improved tracking performance in terms of false negative rate (up to 10.0%) and false negative rate (up to 2.1%) is achieved based on the studied three real cell image sequences. [ABSTRACT FROM AUTHOR]

Published
2015
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