DocumentCode
1798698
Title
A tri-directional spotlight filter for object contour extraction
Author
Hsu, Roy Chaoming ; Chia Hung Hsu ; Cheng-Ting Liu ; Guo-Hua Qiu
Author_Institution
Dept. of Electr. Eng., Nat. Chiayi Univ., Chiayi, Taiwan
fYear
2014
fDate
7-9 July 2014
Firstpage
516
Lastpage
520
Abstract
In this study, an object contour extraction using local structure information (LSI) captured by tri-directional spotlight (TDSL) filter is proposed. The proposed TDSL filter is designed by using three directional spotlight filters with overlapping areas in capturing local structure information around a discontinuity along object contour. The TDSL filter for object contour extraction is consisted of three steps. First, the TDSL filter is placed on an initial contour point to calculate the local structure information in determining and storing the edge candidates between any two pre-selected initial contour points. Next, edge points with weak evidence will be filtered out to obtain an object contour wideband. By performing a thinning approach on the object contour wideband image, a closed one-pixel-width object contour will be finally obtained. Experimental results of the proposed method for manmade and real medical images exhibit that the proposed TDSL filter can enhance the accuracy of contour detection and extraction much better than other existing methods for object contour extraction.
Keywords
edge detection; feature extraction; filtering theory; image segmentation; medical image processing; TDSL filter; closed one-pixel-width object contour; contour detection; edge points; local structure information; medical images; object contour extraction; object contour wideband image; thinning approach; tri-directional spotlight filter; Accuracy; Biomedical imaging; Image edge detection; Information filters; Silicon; contour extraction; local structure information; spotlight filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-3902-2
Type
conf
DOI
10.1109/ICALIP.2014.7009847
Filename
7009847
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