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All Journal Jurnal Ilmiah Kursor INTEGER: Journal of Information Technology
Hendro Nugroho
ITATS
Computer Science & IT Decision Sciences, Operations Research & Management

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THE IMAGE RETRIEVAL OBJECT GANESHA IMAGE USING INVARIANT MOMENT METHOD Hendro Nugroho; Eka Prakarsa Mandyartha
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.98

Abstract

In the findings of the statue of Ganesha in Trowulan Mojokerto area is no longer intact, because the statue of Ganesha is found to have been on the surface of soil or underground, so the archaeologist is very difficult to categorize the findings. This research proposes to overcome the above problems it is necessary to the Image Retrieval system (image retrieval) that can provide information about the results of the discovery of such historic objects. For the image taken as Image Retrieval as an example of research trials is the Ganesha Arca. From the Ganesha Statue is searched for feature extraction value by using Moment Invariant method, after which to get the result of image retrieval using Manhattan method. Image Retrieval information system work is image of Ganesa Arca in pre-processing with size 200x260 pixel BMP, then image in edge detection using Roberts method and extraction of Moment Invariant feature and inserted into database as data traning. For data testing the same process with data traning so searched the closest distance using Manhattan method. From the results of 15 image testing statues Ganesha level to the accuracy of the true states there is 62% and stated wrong 38%. Research can be further developed using various methods to improve image retrieval accuracy
Deteksi Gerak Pada Citra Objek Video Surveillance Dengan Menggunakan Metode Spektral Residual Lailia Rahmawati; Hendro Nugroho
INTEGER: Journal of Information Technology Vol 3, No 1 (2018)
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2018.v3i1.219

Abstract

Video Surveillance adalah salah satu aplikasi yang sering dimanfaatkan pada system keamanan. Penerapan teknik deteksi gerak (Motion Detection) pada video surveillance merupakan salah satu metode yang sering digunakan. Metode pencarian objek gerak pada visual video dengan menggunakan metode Spektral Residual. Langkap-langkah dalam penelitian deteksi gerak adalah input video dengan ukuran 176x144 piksel, proses segmentasi dengan menggunakan metode Threshold Otsu, Proses Saliency Detection yang menggunakan metode Spektrum Residu, Proses Tracking untuk menghasilkan hasil Output Objek deteksi gerak. Data untuk uji coba sejumlah 30 data video dan tingkat keberhasilannya sebesar 90%.Kata Kunci: Deteksi Gerak, Video Surveilance ,Spektral Residual, Thershold Otsu 
Co-Authors Eka Prakarsa Mandyartha Lailia Rahmawati