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Gabor Filter-Based Tonsillitis Analysis Using VHDL

  • P. Nagabushanam
  • S. Thomas George
  • D. S. Shylu
  • S. Radha
Conference paper
  • 40 Downloads

Abstract

Image analysis finds application in a wide variety of areas, namely tumour detection, security purpose by monitoring the captured images, diagnosis of early-stage diseases in various parts of the body and so on. Image segmentation plays a major role in image processing to improve the form of an input image for its analysis in further steps. Segmentation is a key factor in image analysis to maintain less computational time and to derive proper meaning in the presence of large distractions and noises in the image. The key challenge in image segmentation is to attain faster computations and low cost without affecting the basic features of the image. This chapter presents several of the segmentation methods used in images. They are (1) Region-Based Segmentation, (2) Threshold-Based Segmentation, (3) Cluster-Based Segmentation and (4) Filter-Based Segmentation. We proposed a new method for image segmentation with Gabor filter bank by orientation of filters in all directions from 0° to 360°. In this chapter, the proposed image segmentation with a Gabor filter is applied for tonsillitis disease-affected image and the simulations using MATLAB and Block Memory Generators (BRAM) using Very High Speed Hardware Description Language (VHDL) in the Xilinx tool are shown.

Keywords

Image Segmentation Gabor filter Block Memory Generator (BMG) Tonsillitis Disease detection Image to .coe file conversion 

Abbreviations

RGB

Red Green Blue

BMG

Block Memory Generator

HDL

Hardware Description Language

FPGA

Field Programmable Gate Array

DFU

Diabetes Foot Ulcer

MATLAB

Matrix Laboratory

BRAM

Block Random Access Memory

BROM

Block Read Only Memory

FCN

Fully Convolutional Networks

FCM

Fuzzy c-means clustering

ROI

Region-of-interest

SLIC

Segmentation based lossless image coding

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • P. Nagabushanam
    • 1
  • S. Thomas George
    • 2
  • D. S. Shylu
    • 2
  • S. Radha
    • 2
  1. 1.Department of EEEKarunya Institute of Technology and Sciences, CBECoimbatoreIndia
  2. 2.Department of ECEKarunya Institute of Technology and Sciences, CBECoimbatoreIndia

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