SEMOK (Segmentasi Motif Batik)
API Published

SEMOK (Segmentasi Motif Batik)

This is a digital image processing application that automatically separates beautiful Batik patterns from the background fabric. The system uses special image methods like Otsu Thresholding to find the object, CLAHE to make the colors clearer, and morphology operations to clean the image. It helps designers and researchers study Batik patterns much more easily.

Overview

This is a digital image processing application that automatically separates beautiful Batik patterns from the background fabric. The system uses special image methods like Otsu Thresholding to find the object, CLAHE to make the colors clearer, and morphology operations to clean the image. It helps designers and researchers study Batik patterns much more easily.

The Challenge

Taking out the Batik pattern from the background of a cloth is usually very difficult and takes a lot of time. This is because Batik has very complex shapes, lines, and colors that often mix together with the background cloth.

The Solution

I used digital image processing techniques to solve this problem. I applied Otsu Thresholding to automatically separate the main object and CLAHE to improve the picture contrast. This makes the system extract the Batik pattern perfectly without manual work.

Tech Stack

Python

Gallery

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Project Info

Category

API

Status

Published

Tech Stack

Python

Date

Jun 2026

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