ROBUST IMAGE PROCESSING ALGORITHM TO COUNT SAREES/T-SHIRTS PLACED IN SHELVES OF A RETAIL SHOP

Abstract

This study presents a robust image processing algorithm for accurately counting sarees/T-shirts placed on retail shop shelves. The proposed algorithm employs k-means clustering for color quantization, a technique that reduces the number of colors in an image. Through iterative refinement of centroids, the algorithm effectively categorizes objects into distinct clusters, achieving accurate counts. This research offers a valuable approach to automate inventory management in retail settings, enhancing efficiency and precision.