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 :
بازگشت