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An image based on SVM classification technique in image retrieval

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成果类型:
期刊论文、会议论文
作者:
Jiang Qianyi*;Zhong Shaohong;Yang Yuwei
通讯作者:
Jiang Qianyi
作者机构:
[Yang Yuwei; Jiang Qianyi; Zhong Shaohong] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha, Hunan, Peoples R China.
通讯机构:
[Jiang Qianyi] C
Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Feature extraction;Image classification techniques;Image retrieval;SVM algorithm
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2017
卷:
541
页码:
303-308
会议名称:
International Conference on Intelligent and Interactive Systems and Applications (IISA)
会议论文集名称:
Advances in Intelligent Systems and Computing
会议时间:
JUN 25-26, 2016
会议地点:
Shanghai, PEOPLES R CHINA
会议主办单位:
[Jiang Qianyi;Zhong Shaohong;Yang Yuwei] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha, Hunan, Peoples R China.
主编:
Xhafa, F Patnaik, S Yu, Z
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
SPRINGER INTERNATIONAL PUBLISHING AG
ISBN:
978-3-319-49568-2; 978-3-319-49567-5
基金类别:
The research work was supported by 2015 Year College Students in Research Learning and innovative experiment project under Grant No. (201510538007).
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
On the frontier of Image Processing, researchers are encountering the challenge of effectively retrieving and using the information contained in the image. As per the prevailing research after the feature extraction of the relevant properties of a high-level image, the resulting image does not add too many features, When operating directly on the image, because of the high Witte sexual performance data are relatively poor, resulting in the traditional classification method does not apply. So this paper uses support vector machine (SVM) image classification techniques which can overcome this de...

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