DocumentCode
3258870
Title
Cell-edge detection method based on canny algorithm and mathematical morphology
Author
Zhang, Xiao-qin ; Yang, Kuo ; Hao, Bao-qing
Author_Institution
Life Sci. & Technol., Southwest Univ. for Nat., Cheng Du, China
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
894
Lastpage
897
Abstract
Based on Canny operator and mathematical morphology, a new cell-based method for extracting the edge, being crucial to subsequent target feature extraction and image matching recognition, has been discussed in this paper. The image edge of cell is estimated by the Canny algorithm and then mathematical morphology is used for dilation which filled the fracture of the edge, with that the internal pore of the cell image is filled. Finally, smoothing is operated by mathematical morphology. The experimental results demonstrate clearly that the proposed approach is more superior to the traditional differential operator and Canny edge detection method.
Keywords
edge detection; feature extraction; image matching; mathematical morphology; Canny algorithm; cell-edge detection method; edge extraction; image matching recognition; mathematical morphology; target feature extraction; Feature extraction; Filtering algorithms; Image edge detection; Image segmentation; Morphology; Noise; Signal processing algorithms; Canny algorithm; cell edge detection; differential operator; mathematical Morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646890
Filename
5646890
Link To Document