Annotation based Integrated Algorithm for intelligent Retrieval of CAD Images

Computer aided manufacturing environment needs CAD images for production planning and manufacturing of new products. Those images can be retrieved from the database instead of designing every time. To reduce the searching time and to increase the accuracy (99%) this Integrated algorithm is designed for retrieving images with manual and automatic annotation. This study considers all primitive features of an image viz., colour, shape, texture and logical features and abstract attributes. The proposed framework includes annotation and similar image retrieval based on relevance factor of CAD images for production drawings. This improved model can be integrated with any of the design, drawing and development software module.