This series of study proposed the automatic machine embroidery image color analysis system as an extension of the previous proposed machine embroidery color separation system and repetitive pattern search system. This paper integrated the machine embroidery image color analysis system to achieve system automation. The system is divided into three stages: (1) acquire the embroidery fabric image, filter the acquired image noise, and smooth the embroidery fabric texture before using the transform to reduce image information amount and improve subsequent calculation speed; (2) use the genetic algorithm for the repetitive pattern search, and restore the identified repetitive pattern images to the original size by image pyramids, then use frequency domain template matching to determine the locations of the repetitive patterns to verify repetitive pattern accuracy; (3) apply the Gustafson–Kessel cluster algorithm and cluster validity partition index SC to obtain the machine embroidery image’s number of colors and corresponding areas, then employ half-toning technology to determine color types for chromatography. The integrated system can accurately identify the repetitive patterns for chromatography to realize the automatic drafting of embroidery fabric. It can be further integrated with automatic manufacturing equipment for machine embroidery automation.
A Study on the Image Color Analysis of Hotel Guest Rooms for User-Focusing on the Image of Hotel Reservation App
