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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Fruit Recognition Using Color and Morphological Feature Fusion

http://hdl.handle.net/20.500.12678/0000007366
http://hdl.handle.net/20.500.12678/0000007366
31efd52e-8e16-4a80-8786-dc6e9e9a0804
246530e4-47f5-4c5b-a78f-f54f3326fba0
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Fruit Fruit Recognition Using Color and Morphological Feature Fusion.pdf (541 KB)
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Publication type
Journal article
Upload type
Publication
Title
Title Fruit Recognition Using Color and Morphological Feature Fusion
Language en
Publication date 2019-10-11
Authors
Myint San
Mie Mie Aung
Phyu Phyu Khaing
Description
t is still difficult to recognize the kind of fruit
which are of different colors, shapes, and textures. This
paper proposes a features fusion method to recognize five
different classes of fruits that are the images from the
fruit360 dataset. We are processed with four stages: preprocessing, boundary extraction, feature extractions, and
classification. Pre-processing is performed to remove the
noise by using the median filter, and boundary extraction
are operated with the morphological operation. In feature
extraction, we have extracted two types of features: color,
and morphological features of the image. Color features
are extracted from the RGB color channel, and
morphological features are extracted from the image that
detected the boundary of fruit by using morphological
operations. These two types of features are combined in a
single feature descriptor. These features are passed to
five different classifiers: Naïve Bayes (NB), Logistic
Regression (LR), Support Vector Machine (SVM),
Decision Tree (DT), K-Nearest Neighbor (KNN), and
Random Forest (RF). In the study, the accuracy that
classified with Random Forest (RF) classifier for the
proposed feature fusion method is better than the other
classifiers, such as Naïve Bayes (NB), Logistic
Regression (LR), Support Vector Machine (SVM),
Decision Tree (DT), K-Nearest Neighbor (KNN).
Keywords
Fruit recognition, feature fusion, color feature, morphological feature
Journal articles
10
International Journal of Image, Graphics and Signal Processing (IJIGSP)
8-15
Vol-11
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