چکیده (انگلیسی):

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%.