The Research Of Image Retrieval System Combining Semantic Feature

This　thesis　is　designed　for　image　retrieval　system　combining　semantic　feature,　use　Visual　C++　as　development　tool,　ACCESS　2000　as　image　and　feature　database,　have　aids　of　DAO　interface　connecting　system　and　database,　have　realized　content-based　image　retrieval　system.　Refer　to　process　of　understanding　and　analysing　of　human,　image　being　divided　into　background　and　object,　draw　corresponding　visual　feature　respectively　as　parameter　of　retrieval,　carry　out　image　retrieval.　The　system　may　accept　user　participation　as　appraise　for　retrieval　result,　resort　to　it　adjusting　the　weight　of　each　feature　parameter,　make　the　retrieval　step　by　step　going　on　according　to　the　requirement　of　user,　up　to　accord　with　the　needs　of　user　on　vision　and　semantic.Concept　and　characteristic　of　CBIR　technology　have　been　elaborated,　extract　algorithm　for　each　feature　and　related　feedback　technology　was　discussed,　finally　summary　and　prospect　of　the　CBIR　technology　was　made.