Leaf Morphological Feature Extraction of Digital Image Anthocephalus Cadamba
Abstract: This research
implemented an image feature extraction method using morphological techniques.
The goal of this proccess is detecting objects that exist in the image. The
image is converted into a grayscale image format. Then, grayscale image is
processed with tresholding method to get initial segmentation. Furthermore,
image from segmentation results are calculated using morphological methods to
find the mapping of the original features into the new features. This process is
done to get better class separation. Research conducted on two Antocephalus
cadamba (Jabon) leaf diseased seedlings data set image that contained leaf spot
disease and leaf blight. The results obtained morphological features such as
rectangularity, roundness, compactness, solidity, convexity, elongation, and
eccentricity able to represent the characteristic shape of the symptoms of the
disease. All properties form the symptoms can be quantitatively explained by
the features form. So it can be used to represent type of symptoms of two
diseases in Antocephalus cadamba (Jabon).
Author: Fuzy Yustika Manik,
Yeni Herdiyeni, Elis Nina Herliyana
Journal Code: jptkomputergg160204
