文章基本信息

标题：CONTENT BASED BATIK IMAGE RETRIEVAL
本地全文：下载
作者：Rangkuti, A. Haris ; Harjoko, Agus ; Putro, Agfianto Eko 等
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2014
卷号：10
期号：6
页码：925-934
DOI：10.3844/jcssp.2014.925.934
出版社：Science Publications
摘要：Content Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik image must start from a preprocessing stage, in which all its color images must be removed with a grayscale process. Proceed with the feature extraction process taking motifs characteristic of every kind of batik using the method of edge detection. After getting the characteristic motifs seen visually, it will be calculated by using 4 texture characteristic function is the mean, energy, entropy and stadard deviation. Characteristic function will be added as needed. The results of the calculation of characteristic functions will be made more specific using the method of wavelet transform Daubechies type 2 and invariant moment. The result will be the index value of every type of batik. Because each motif there are the same but have different sizes, so any kind of motive would be divided into three sizes: Small, medium and large. The perfomance of Batik Image similarity using this method about 90-92%.
关键词：CBBIR; Batik; Motif; Wavelet Transform; Daubechies; Edge Detection; Grayscale; Feature Extraction; Texture