With　the　development　of　high　technology,　the　digitization　of　works　of　art　and　cultural　relics　is　no　longer　a　problem.　How　to　extract　enough　and　accurate　information　from　a　large　number　of　complex　information　for　our　use　is　a　common　problem　in　practice.　With　the　continuous　improvement　of　digital　inkjet　technology　and　color　ink　quality,　many　digital　products　have　appeared　in　the　market,　such　as　digital　oil　painting,　digital　traditional　Chinese　painting,　digital　calligraphy,　digital　printmaking,　digital　paper　cutting,　digital　embroidery　and　other　digital　art　replicas.　However,　in　addition　to　modeling,　pattern　is　also　an　important　part　of　art.　Chinese　traditional　patterns　have　a　long　history　and　brilliant　achievements.　After　solving　the　problem　of　production　automation,　leading　enterprises　in　various　industries　began　to　seek　detection　automation　and　assembly　automation　based　on　machine　vision.　Machine　vision　technology　has　become　one　of　the　hot　spots　in　the　industry.　With　the　rapid　development　of　3D　technology,　its　application　scope　is　becoming　more　and　more　daily,　from　cultural　relic　restoration,　simulation　manufacturing,　digital　sculpture　to　ceramic　art　production,　etc.　Machine　vision　should　use　image　recognition　technology　instead　of　human　eyes　to　measure　and　judge,　which　is　more　efficient,　more　accurate　and　more　objective,　and　can　be　repeated　endlessly,　greatly　improving　the　degree　of　automation　of　production.　This　paper　focuses　on　the　three-dimensional　patterns　of　ceramic　artworks,　aiming　at　high-quality　reproduction　and　design　re-creation,　deeply　studies　the　collection　and　image　splicing　technology　of　three-dimensional　patterns　of　ceramic　artworks,　and　constructs　an　image　reproduction　system,　which　realizes　the　whole　digital　process　from　three-dimensional　pattern　shooting,　preprocessing,　image　correction,　two-dimensional　transformation　of　three-dimensional　images,　image　registration,　image　fusion　to　generation　of　complete　two-dimensional　patterns.　©　2022　SPIE.