VHDL Design for Image Segmentation using Gabor filter for Disease Detection

International Journal of VLSI design & Communication Systems (VLSICS)

Rucha R. Thakur1, Swati R. Dixit2 and Dr.A.Y.Deshmukh3

1Department of Electronics & Telecommunication Engineering, PG Student,G.H.Raisoni College of Engineering, Nagpur, India

2Department of Electronics & Telecommunication Engineering, Research Scholar,G.H.Raisoni College of Engineering, Nagpur, India

3Department of Electronics Engineering, Professor, G.H.Raisoni College of Engineering, Nagpur, India

Abstract

Tonsillitis, Tumor and many more skin diseases can be detected in its early-state and can be cured. For this a new idea for efficient Gabor filter design with improved data transfer rate, efficient noise reduction, less power consumption and reduced memory usage is proposed in this paper. The filter design is suitable for detecting the early stages of disease using textural properties of anatomical structures. The code for Gabor filter will be developed in VHDL using Modelsim and then implemented on SPARTAN-3E FPGA kit. These systems must provide both highly accurate and extremely fast processing of large amounts of image data.

Keywords

Segmentation, Medical image, Gabor algorithm, CORDIC algorithm, FPGA

Original Source Link : http://aircconline.com/vlsics/V3N2/3212vlsics18.pdf

http://airccse.org/journal/vlsi/vol3.html