DocumentCode :
584661
Title :
Hough Transformed Based Ship Segmentation Using Centerline Extraction and Feature Angles
Author :
Garcia, I.C. ; Zolzer, Udo
Author_Institution :
Fac. of Electr. Eng., Helmut Schmidt Univ., Hamburg, Germany
fYear :
2012
fDate :
25-29 Nov. 2012
Firstpage :
149
Lastpage :
154
Abstract :
Image segmentation is a very important step in order to accomplish automatic tasks, such as classification, being continuously demanded by our society. However, the particular case of naval images entails issues that may exacerbate the conditions for segmentation. Specifically due to water reflections the gray distribution might be very disperse throughout the image and waves produce a large amount of edges. They differ from one image to another too and thus, patterns of color or brightness are difficult to be found. Nevertheless, in this paper we take advantage of these negative characteristics by applying a Hough Transform based technique that enhances the shape of the ship. First, the ship centerline is extracted and the desired feature angles are applied based on this value. The preliminary results are further processed to obtain higher accuracy. The set of parameters is presented and discussed, as well as the non-maximal suppression step and the voting strategy employed. The results reach a higher level of detail compared to previous suggested techniques for this kind of images.
Keywords :
Hough transforms; edge detection; feature extraction; image segmentation; naval engineering computing; ships; Hough transform technique; Hough transformed based ship segmentation; centerline extraction; edge detection; feature angle extraction; gray distribution; naval images; nonmaximal suppression step; voting strategy; water reflections; Feature extraction; Image edge detection; Image segmentation; Marine vehicles; Quantization; Shape; Transforms; Edge Detection; Hough Transform; Ship Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
Type :
conf
DOI :
10.1109/SITIS.2012.32
Filename :
6395088
Link To Document :
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