SIMPLE LINEAR ITERATIVE CLUSTERING (SLIC) UNTUK SEGMENTASI MOTIF DASAR CITRA KAIN SASIRANGAN

Abstract

South Kalimantan is one of the areas that have a distinctive batik cloth called sasirangan fabrics. Sasirangan fabric motifs are growing along with market demand and the development of fashion every year. Patterns, colors, or motifs of sasirangan fabrics continue to grow. Sasirangan fabric has a basic motif that is often used in the pattern of sasirangan fabric. It is from this basic motif that the sasirangan fabric can be in the cluster. The segmentation of the basic motif of the sasirangan fabric image will be tested using the SLIC method and compared with the maskSLIC method. The basic motif of the sasirangan fabric that has a unique pattern of seams and ties from the coloring process can be segmented by the SLIC method. The basic motif of sasirangan fabric can be segmented to group the basic motifs found in the sasirangan fabric. In image segmentation conducted using the SLIC method, the test compares the segmentation obtained using the SLIC and maskSLIC methods. With the maskSLIC method, the color separation is wider than using the SLIC method. The super-pixel generation method based on the SLIC algorithm is superior. Region-based segmentation and reclassification methods have high advantages and efficiencies.