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International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: The Research of Image Enhancement and Thinning Algorithm for Fertility Detection of Embryonated Eggs
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 2070-2073)
Author(s): Chunling Fan, College of Automation and Electrical Engineering Qingdao University of Science and Technology (QUST) Qingdao, China
Daohe Wang, College of Automation and Electrical Engineering Qingdao University of Science and Technology (QUST) Qingdao, China
Abstract: The algorithm for image edge detection based on wavelet transform is getting more and more application in image feature detection. With analyzing the disadvantages of traditional algorithms, image enhancement and refinement algorithms are improved in this thesis. Wavelet-based multi-level enhancement algorithm is selected to enhance the image of embryonate eggs, and then the main blood-vessels are extracted by image segmentation. Secondly, a fast thinning and thinning restoration algorithm are applied to thin images for removing burr which is suitable for egg embryo bloodshot detailed graphics. Finally, determine the activity algorithm through the number of blood vessel. Form the comparison of other algorithms, apparently, the presented method is robust and efficient, moreover, it is not sensitive to noise and the color of egg shell, or the pollution on the eggshell. The method meets the needs of both detection of accuracy rate and executive speed in mass production.
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