自己組織化マップによる分類のための写真のデータ表現について-Prefectural University of Hiroshima

A lot of photographs are collected in the cloud server through Smartphone based User Participating system such as Hiroshima Kankou Map Android application. The difficulties of analysis for the characteristic pattens related to the sightseeing spotsuare no measurement of similarity to the landmark. In this paper, the traditional image processing such as gray conversion,
Wavelet conversion, and the edge detection in OpenCV are implemented. We classified the encorded image of the collected photographs by SOM and report their results.

Description

開催日：平成25年7月13日　会場：広島市立大学

Journal Title

2013 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

Spage

Epage

Published Date

2013

Publisher

IEEE SMC Hiroshima Chapter

Contributor

市村, 匠

Language

jpn

NIIType

Conference Paper

Text Version

著者版

Old URI

http://harp.lib.hiroshima-u.ac.jp/handle/harp/12100

Set

pu-hiroshima