D-1-2 On Analyzing the Structure of the Seabed(General Session in English (1))

Investigation of the seabed is an important issue nowadays. For this purpose, ultrasound images of the seabed provided from a side-scan sonar are often used for analysis. Two methods of analyzing the seabed are presented: automatic detection of objects on the seabed based on Haar-type feature and A...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the Annual Conference of Biomedical Fuzzy Systems Association pp. 43 - 44
Main Authors TAN, Yasuhiro, TAN, Joo Kooi, KIM, Hyoungseop, ISHIKAWA, Seiji
Format Journal Article
LanguageEnglish
Published Biomedical Fuzzy Systems Association 2013
Subjects
Adaboost
HLAC
Image sensing
Object detection
Seabed
Sediment recognition
Ultraound images
Online AccessGet full text

Cover

More Information
Summary:Investigation of the seabed is an important issue nowadays. For this purpose, ultrasound images of the seabed provided from a side-scan sonar are often used for analysis. Two methods of analyzing the seabed are presented: automatic detection of objects on the seabed based on Haar-type feature and A daboost, and seabed sediments recognition using HLAC feature and the subspace method. Experimental results using real seabed ultrasound images are shown.
Bibliography:D-1-2
ISSN:1345-1510
2424-2586
DOI:10.24466/pacbfsa.26.0_43