DocumentCode
2486995
Title
A fast shape retrieval using dendrogram
Author
Kikugawa, Michikazu ; Chang, Won-Du ; Hwang, Soonwook ; Shin, Jungpil
Author_Institution
Grad. Sch. of Comput. Sci. & Eng., Univ. of Aizu, Fukushima, Japan
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
5
Abstract
A lot of image data has been digitized and preserved in computers. In order to search for an image, an efficient and accurate retrieval method is needed. This paper is concerned with shape retrieval which is one of the searching methods for finding similar images in a database. Shape, the outer form of a picture, is considered the most promising feature to identify entities in an image. The problem of shape retrieval takes a lot of time because an exhaustive search is mainly used in literatures. This paper suggests the use of a clustering method known as dendrogram for shape retrieval. In addition, we proposed the automatic decision of a threshold to determine a number of clusters in dendrogram. Through the experimental result, the proposed method proved fast retrieval preserving almost the same level accuracy.
Keywords
feature extraction; image retrieval; shape recognition; dendrogram; exhaustive search; fast shape retrieval; image data; image retrieval; searching methods; Clouds; Databases; Humans; Marine animals;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596321
Filename
5596321
Link To Document