Implementation of Featureset Reduced Symmetric Transform in Image Retrieval Optimized for FPGA
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 9
Abstract
In this paper we present an algorithm for medical image retrieval system which is optimized for use in FPGA. The algorithm proposed is based on the improvement of fast Hartley transform and can be used in conjunction with computer or with an embedded device to accelerate retrieval. Medical Image Retrieval is a complex problem due to subjective nature of human visual system which is based not only on localization and directionality but also on the pathological condition.
Authors and Affiliations
C. Sriramakrishnan , Dr. A. Shanmugam
Keywords
Related Articles
- EP ID EP85443
- DOI -
- Views 126
- Downloads 0
Spectrum Sharing in a Long Term Spectrum Strategy via Cognitive Radio for Heterogeneous Wireless Networks
In this paper, Spectrum sharing technique among service providers to share the licensed spectrum of the licensed service providers for Heterogeneous wireless networks in a dynamic manner is proposed. Here, we could analy...
Signature Verification Using Neural Network
In this paper we present new improved off-line signature verification system using global and texture features of signatures. This scheme is based on the technique that applies preprocessing on the signature to get a bin...
SERVICE ORIENTED APPLICATION IN AGENT BASED VIRTUAL KNOWLEDGE COMMUNITY
With the availability of the Internet, virtual communities are proliferating at an unprecedented rate. Indepth understanding of virtual community dynamics can help us to address critical organizational and information sy...
Web Services Security Architectures Composition and Contract Design using RBAC
Service Oriented Architecture’s Web Services authorization traditionally is done using common access control models like Role-Based Access Control. In thinking of a composite application that stitches together the capabi...
Image Retrieval based on combined features of image sub-blocks
In this paper we propose a new and efficient technique to retrieve images based on sum of the values of Local Histogram and GLCM (Gray Level Co-occurrence Matrix) texture of image sub-blocks to enhance the retrieval perf...