Tomato Disease Image Retrieval Based on Composite Features-Reference-Cited by-同舟云学术

Tomato Disease Image Retrieval Based on Composite Features

Published:2014-06 Issue: Volume:571-572 Page:777-780
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Zhang Qian¹,Yu Feng¹,Liu Xin¹,Zhang Jun Feng¹

Affiliation:

1. Beijing Academy of Agriculture and Forestry Sciences

Abstract

A new method of tomato disease image retrieval was proposed, which based on the composite feature extraction of disease images. The feature was converted to a set of hash sequence. This retrieval method can reflect the image content in a better way for the comprehensive application of color, texture and shape features. The digital index of image through perception hash algorithm processing can retrieval images and return the result more rapidly.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.571-572.777.pdf

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