CBIR on Grids

A Novel Content Based Image Retrieval System using K-means/KNN with Feature Extraction

Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, fe...

Towards applying content-based image retrieval in the clinical routine

Content-based image retrieval (CBIR) has been one the most vivid research areas in the field of computer vision, and substantial progress has been made over the last years. As such, many have argued for the use of CBIR to support medical imaging diagnosis. However, the sheer volume of data produced in radiology centers has precluded the use of CBIR in the daily routine of hospitals and clinics....

An Overview of Content Based Image Retrieval

Content Based Image Retrieval (CBIR)becomes one of the most important area for Research. In CBIR system image is retrieved on the bases of visual features like color , texture and shape. In this system image is retrieved from large collection of images i.e.database. This Document describes different Cbir systems,different types of system,cbir processand application of CBIR. Keywords—Image Retri...

Transonic Turbulent Flow Computations on Unstructured Triangular Grids

Content-based Image Retrieval System for clinical diagnosis of Pigmented Skin Lesions

The screening process of skin cancer and the capacity of storing the digital images in recent years are rapidly increasing at an alarming rate. These digital image contains a lot of useful diagnostic information, which are not efficiently accessed and used. This requires a way to quickly and accurately find an access to these images, also known as content-based image retrieval (CBIR) system. Th...