Plant Image Retrieval Using Color and Texture Features

被引：4
|
作者：
Kebapci, Hanife [1 ]
Yanikoglu, Berrin [1 ]
Unal, Gozde [1 ]
机构：
[1] Sabanci Univ, Fac Engn & Nat Sci, TR-34956 Istanbul, Turkey
来源：
2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES | 2009年
关键词：
D O I：
10.1109/ISCIS.2009.5291857
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An application of content-based image retrieval is proposed for identifying plants, along with a preliminary implementation. The system takes a plant image as input and finds the matching plant from a plant image database and is intended to provide users a simple method to locate information about their house plants. Max-flow min-cut technique is used as the image segmentation method to extract the general structure of the plant. Various color and texture features extracted from the segmented plant region are used in matching images to the database. Results show that for 60% of the queries, the correct plant image is retrieved among the top-10 results, using a small database of 188 images.
引用
收藏
页码：82 / 87
页数：6
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