MOMEN INVARIANT UNTUK MENDAPATKAN CIRI DAUN TANAMAN HIAS

Authors

  • Abdul Kadir Program Pascasarjana Teknik Elektro, Universitas Gadjah Mada Yogyakarta

Keywords:

Invariant moment, coloured image, binary image, pattern classification

Abstract

This paper describes a result of experiment in using moment invariant to obtain features of plants’s leaves that are invariant with scaling, rotation, and translation. This research was a preliminary in getting features that could be used to identify leaves of foliage plants. The focus was to analyse the application of invariant moment to various of leaves. The processing was done by using binary images, but its input was coloured image.

References

Costa, L.F; Cesar, R.M.; 2001; Shape Analysis and Classification Theory and Practice; Florida: CRC Press LLC.
Kadir, A.; 2008; Galeri Eksotika Philodendron; Yogyakarta: Penerbit Andi. Kulkarni, Arun D.; 1994; Artificial Neural Networks for Image Understanding; New
York: Van Nostrand Reinhold.
Martinez, W. L., Martinez, A.R., 2002, Computational Statistics Handbok With MATLAB, Florida: CRC Press LLC.
Mercimek, M.; Gulez, K.; Mumce, T.V.; 2005; Real Object Recognition Using Moment Invariants; pada Sadhana Vol. 30 Part 6; pp.765-775; India.
Theodoris, S; Koutroumbas, K.; 2006; Pattern Recognition; 3rd Edition; San Diego: Academic Press.

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Published

2020-05-23

How to Cite

Abdul Kadir. (2020). MOMEN INVARIANT UNTUK MENDAPATKAN CIRI DAUN TANAMAN HIAS. Teknomatika: Jurnal Informatika Dan Komputer, 2(2), 1–8. Retrieved from https://ejournal.unjaya.ac.id/index.php/teknomatika/article/view/353

Issue

Vol. 2 No. 2 (2010): TEKNOMATIKA

Section

Articles