Design of Approximate Tight Wavelet Frames Using Gabor Wavelet

Shirasuna, Miyori; Zhong, Ziyi; Toda, Hiroshi; Miyake, Tetsuo

doi:10.2299/jsp.20.41

Cited by 1 publication

(1 citation statement)

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“…Pseudocode 1 is the programming step to detect aflatoxin in this research. Pseudocode is essential to do to analyze any previous analysis [10,11,12,13,14]. The comparison between the Simple Gabor Wavelet (SGW) algorithm and other algorithms can be seen in table 1.…”

Section: Fig 1 System Block Diagrammentioning

confidence: 99%

Detection of aflatoxin contamination in corn using The Simplified Gabor Wavelet algorithm

Yudistiro,

Fatah,

Wibawa

et al. 2023

IOTA

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The quality of corn is essential to determine whether the corn is still suitable for consumption and what type of corn it is. Corn is one type of vegetable that is indispensable for the nutritional needs of the Indonesian people today and is a mixture of other essential ingredients. Corn is rich in fiber, which is good for improving digestion and overcoming constipation, controlling blood sugar levels, maintaining heart health, overcoming depression, maintaining eye health, and preventing diverticulitis. In this research, image recognition is used to determine and detect the content of aflatoxin, which is one type of abnormality or disorder in corn. This affects the quality of corn, whether corn is suitable for human consumption, and what impact aflatoxin has on the human body. on testing using parameters Non UV image, SGW Filter Image θ = 0, 90, 180 and 270, and The resulting SGW image with the number of orientations N = 4, θ = θ + pi/N, and θ = θ + 2*pi/N, The aflatoxin content in humans can cause carcinogenic or liver cancer and acute necrosis, cirrhosis, and carcinoma in the animal liver.

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