TELKOMNIKA Telecommunication, Computing, Electronics and Control
Rice seed image classification based on HOG descriptor with missing values imputation
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Rice seed image classification based on HOG descriptor with missing values imputation
Rice seed image classification based on HOG descriptor with missing values imputation
Subject
HOG descriptor, KNN imputation, Linear interpolation, Missing value imputation, Rice seed image classification, Zero imputation
Description
Rice is a primary source of food consumed by almost half of world
population. Rice quality mainly depends on the purity of the rice seed.
In order to ensure the purity of rice variety, the recognition process is an
essential stage. In this paper, we firstly propose to use histogram of oriented gradient (HOG) descriptor to characterize rice seed images. Since the size of image is totally random and the features extracted by HOG can not be used directly by classifier due to the different dimensions. We apply several imputation methods to fill the missing data for HOG descriptor. The experiment is applied on the VNRICE benchmark dataset to evaluate the proposed approach.
population. Rice quality mainly depends on the purity of the rice seed.
In order to ensure the purity of rice variety, the recognition process is an
essential stage. In this paper, we firstly propose to use histogram of oriented gradient (HOG) descriptor to characterize rice seed images. Since the size of image is totally random and the features extracted by HOG can not be used directly by classifier due to the different dimensions. We apply several imputation methods to fill the missing data for HOG descriptor. The experiment is applied on the VNRICE benchmark dataset to evaluate the proposed approach.
Creator
Huy Nguyen-Quoc, Vinh Truong Hoang
Source
DOI: 10.12928/TELKOMNIKA.v18i4.14069
Publisher
Universitas Ahmad Dahlan
Date
August 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Huy Nguyen-Quoc, Vinh Truong Hoang, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Rice seed image classification based on HOG descriptor with missing values imputation,” Repository Horizon University Indonesia, accessed April 26, 2025, https://repository.horizon.ac.id/items/show/3943.
Rice seed image classification based on HOG descriptor with missing values imputation,” Repository Horizon University Indonesia, accessed April 26, 2025, https://repository.horizon.ac.id/items/show/3943.