Key Issues Of Research And Application On Content-Based Image Retrieval

Due to the steady growth of computer, multimedia,and Internet techniques,a hugeamount of images are available.Currently, rapid and effective searching for desiredimages from large-scale image databases becomes an important and challengingresearch problem. CBIR (Content-based image retrieval) is researched to solve theproblem of retrieving relevant images from an image database based on automaticallyderived image features.In recent years, CBIR is a very active research direction andhas been applied to many fields.After several years' research, CBIR has made the considerable progress,however, it was still unable to satisfy the users' requests. The most difficult question is:there exists a gap between low-level visual features and high-level semantics.Actually,this also is difficult in the computer vision, the image understanding and a patternrecognition domains.Study on low-level visual features and the similar measurealready have the vital significance, also face the huge challenges.In this paper, lots of exploratory research work has been done around some keytechnologies of CBIR, including low-level feature extraction, similarity measure aswell as algorithm appraisal criterion technology:Firstly, one kind of color invariance model was proposed, and applied it into thecolor co-occurrence matrix.Meanwhile, further the binaryzation improvementsuppressed the background color influence effectively;Secondly, color edge detection using jointly Euclidean distance and vector anglewas proposed, making up shortcomings of only using one of the two effectively;Thirdly, the new spatial expression was proposed, making up insufficiency ofspatial expression aspect in CBIR. Meanwhile, sin similarity measure wasproposed to further improve the precision of retrieval;Fourthly, SSIM(Structural Similarity Index),the latest result of image qualitymeasure was improved, which was one new idea of CBIR research.Based on the study of the domestic and international image retrieval systems, there are some deficiencies regarding the retrieval algorithm test research and thealgorithm performance comparison aspect, mainly manifesting in that our own imageretrieval system must be established at first, algorithm tests can be carried out. Whileestablishing image Retrieval environment is very complex. In order to solve the aboveproblems, a common content-based image retrieval test platform calledSttlmageRetrieval has been desiged, which is user-friendly and efficient, and thispaper proved the feasibility of algorithms through simulation experiments.