Content-Based Image Retrieval Techniques: A Review

摘要

Present-day, medicinal and healthcare industry needs a direct attention in the care of human organs and disease objects. They are extensively used for the analysis, treatment, and spotting of the disease. The retrieval of the appropriate images from the database is very difficult if the volume of the image database has increased. By means of this, Content-Based Image Retrieval (CBIR) acquired animmense deliberation to excerpt the pertinent information from the large image archive. It contains two activities, extracting the features and measuring the similarity. Based on these, many CBIR systems are proposed. This paper provides the exhaustive study of the recent CBIR which is used to design a mechanism for image retrieval to get better retrieval results with lesser computational complexity.