Detail Karya Ilmiah
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Penerapan Metode Ekstraksi Ciri Color Moments dan Color Co-occurrence MatrixPenulis : Ibnu TaufiqDosen Pembimbing I : Dr. Arif Muntasa, S.Si., M.T.Dosen Pembimbing II :Dr. Indah Agustien Siradjuddin, S.Kom., M.Kom.Abstraksi
Proses pencarian informasi gambar berdasarkan text tidaklah effisien. Untuk mengefisienkan pencarian gambar dapat menggunakan query gambar (Content Based Image). Penelitian ini menggunakan dua metode ekstrasi ciri warna yaitu metode color moments dan color co-occurrence matrix. Sedangkan untuk perhitungan kemiripan query gambar dengan gambar di database menggunakan Euclidean Distance. Diukur tingkat akurasi menggunakan Precission dan Recall. Dataset yang digunakan pada penelitian ini yaitu dataset Wang dengan jumlah 1000 citra. Dataset tersebut dibagi menjadi 2 bagian yaitu 30% (300 citra) sebagai data testing dan 70% (700 citra) sebagai data training. Pada penelitian ini dilakukan 3 kali skenario uji coba, yaitu hanya dengan Color Moments, Color Co-occurrence Matrix dan penggabungan antara Color Moments dan Color Co-occurrence Matrix. Pada penelitian ini di dapatkan nilai akurasi tertinggi adalah dengan penggabungan ekstraksi ciri dengan menggunakan Color Moments dan Color Co-occurrence Matrix mendapatkan nilai Precision sebesar 48% dan nilai Recall sebesar 21%. Kata Kunci : Content Based Image Retrieval(CBIR), Color Moments, Color Co-occurrence Matrix(CCM), Euclidean Distance, Precision, Recall.
AbstractionThe process of information search images based on the text does not disappear. To streamline image search can use queries image (Content Based Image). This study uses two methods of color characteristic extraction method color moments and color co-occurrence matrix. As for the calculation of similarity queries image by image in the database using the Euclidean Distance. Measured accuracy using Precission and Recall. The dataset used in this study i.e. dataset Wang with the amount of 1000 images. The DataSet is split into 2 parts, namely 30% (300 images) as data testing and 70% (700 images) as the training data. This research was conducted at 3 times the test scenario, namely only with Color Moments, Color Co-occurrence Matrix and a merger between Color Moments and Color Co-occurrence Matrix. On this research in the get the value of the highest accuracy is by merging extraction characteristics by using Color Moments and Color Co-occurrence Matrix get value of 48% Precision and Recall value of 21%. Keyword: Content Based Image Retrieval (CBIR), Color Moments, Color Co-occurrence Matrix (CCM), the Euclidean Distance, Precision, Recall.