Open Access
ARTICLE
Research on Prevention of Citrus Anthracnose Based on Image Retrieval Technology
Xuefei Du*, Xuyu Xiang
College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China
* Corresponding Author: Xuefei Du. Email:
Journal of Information Hiding and Privacy Protection 2020, 2(1), 11-19. https://doi.org/10.32604/jihpp.2020.010114
Received 10 May 2020; Accepted 28 May 2020; Issue published 15 October 2020
Abstract
Citrus anthracnose is a common fungal disease in citrus-growing areas
in China, which causes very serious damage. At present, the manual management
method is time-consuming and labor-consuming, which reduces the control
effect of citrus anthracnose. Therefore, by designing and running the image
retrieval system of citrus anthracnose, the automatic recognition and analysis of
citrus anthracnose control were realized, and the control effect of citrus
anthracnose was improved. In this paper, based on the self-collected and collated
citrus anthracnose image database, we use three image features to realize an
image retrieval system based on citrus anthracnose through SMV, AP clustering
optimization. The results show that: 1) In the accuracy of image feature retrieval,
Gist feature extraction > cumulative color histogram > Gabor texture feature; 2)
In the maximum divergence diversity retrieval, semi-supervised AP clustering
retrieval > AP clustering retrieval > SVM relevance feedback results > initial
retrieval. 3) Practice shows that this technology can reduce the workload of
monitoring and management in the control process of citrus planting area, and
promote the intelligent and efficient control of citrus anthracnose, which has high
practical application value.
Keywords
Cite This Article
X. Du and X. Xiang, "Research on prevention of citrus anthracnose based on image retrieval technology,"
Journal of Information Hiding and Privacy Protection, vol. 2, no.1, pp. 11–19, 2020. https://doi.org/10.32604/jihpp.2020.010114