A Non-Overlapping View Human Tracking Algorithm using HSV Colour Space

Teoh, Shen Khang; Yap, Vooi Voon; Nisar, Humaira

doi:10.1109/icghit.2019.00030

Cited by 3 publications

(1 citation statement)

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“…HSV memiliki koordinat silinder yang terdiri dari tiga saluran warna, yaitu hue, saturation, dan value. Kuantisasi warna adalah proses untuk mengurangi jumlah warna yang mewakili suatu gambar [25]. Dalam penelitian ini, ekstraksi ciri dihitung berdasarkan nilai rata-rata hue dan saturasi yang dihasilkan pada citra.…”

Section: Ekstraksi Fitur Dengan Hsvunclassified

Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas

Destriana

Nurnaningsih

Alamsyah

et al. 2021

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Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category

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Section: Ekstraksi Fitur Dengan Hsvunclassified