24 November 2014 Hemagglutinin outer contour detection methods based on regular hexagon bar template
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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 930121 (2014) https://doi.org/10.1117/12.2072431
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
In order to extract hemagglutinin outer contour accurately in the hemagglutinin image, analyzes the hemagglutinin protein content by the size of detected contour, presents a regular hexagon bar circle detection algorithm which uses regular hexagon bar detection template to detect outer contour of the hemagglutinin. Firstly, the hemagglutinin image thresholded by using OTSU adaptive thresholding method; and then using regular hexagon bar detection template method to rough align hemagglutinin after thresholded, intersection of detection template and the hemagglutinin contour area is attained, the noise near hemagglutinin contour is reduced by using the standardization relationship of the hexagon bars, so the hemagglutinin pixels are accurately obtained; finally the hemagglutinin outer contour information is gained by the geometric relationship of pixels, the hemagglutinin position is achieved precisely. The experimental results show that: the contour detection error due to the density uneven and the edge unclearly of hemagglutinin image protein is better reduced, the detection accuracy is increased by a factor of 0.47, detection speed is increased by a factor of 0.56.The hemagglutinin contour can be dected stablely, fastly, accurately and the is significant to the study of the hemagglutinin protein content.
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Miaomiao Tian, Miaomiao Tian, Wenbo Jing, Wenbo Jing, Jin Duan, Jin Duan, Xiaoman Wang, Xiaoman Wang, } "Hemagglutinin outer contour detection methods based on regular hexagon bar template", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 930121 (24 November 2014); doi: 10.1117/12.2072431; https://doi.org/10.1117/12.2072431
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