DocumentCode :
130940
Title :
A lens-free on-chip microscopy algorithm for submicron pixel size image sensor
Author :
Hui Liu ; Dong Wu ; Nan Xie ; Cencen Gao
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
27-29 June 2014
Firstpage :
657
Lastpage :
660
Abstract :
Lens-free on-chip microscopy has many advantages compared with lens-based microscopy such as lightweight of hardware, low cost and improved resolution etc. A microscopy algorithm is proposed in this paper and its merits include high resolution, strong robustness, insensitivity to initial state of the object. Theories related to diffraction are introduced as the premise. 2D log-Gabor filters with different scales and orientations are constructed to extract the features of the captured photo. The reconstructed photo is determined by the extracted features and theoretical calculation. The algorithm is verified with 0.95×0.95 μm2 pixel size image sensor. The experimental results illustrate the effectiveness and high resolution of this algorithm.
Keywords :
Gabor filters; feature extraction; image reconstruction; image sensors; light diffraction; optical microscopy; 2D log-Gabor filter; diffraction theory; feature extraction; lens-free on-chip microscopy algorithm; submicron pixel size image sensor; Diffraction; Filtering algorithms; Filtering theory; Gabor filters; Image sensors; Microscopy; System-on-chip; 2D log-gabor filter; diffraction; image reconstruction; on-chip microscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4799-3278-8
Type :
conf
DOI :
10.1109/ICSESS.2014.6933654
Filename :
6933654
Link To Document :
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