Gabor filter based Image segmentation for Disease Detection using VHDL

P. Nagabushanam, S. Radha, Sushmita Selvadass, Kezia Kanishka Joseph
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引用次数: 1

Abstract

Diseases detected in early stage can be cured easily. Image segmentation is a process which segments an image and produces information to analyse tumor in an image. Existing segmentation methods consume more time to analyse the image and detect the tumor. In our paper we used Xilinx core IP generator along with MATLAB to simplify a complex image and extract useful information from an image to detect the tumor. By using Gabor filter with CORDIC algorithm, the storage memory reduces; speed of data rate increases and noise is removed from the image. By obtaining. coe file from Xilinx and applying to MATLAB will give the percentage of tumor in the image.
基于Gabor滤波的VHDL疾病检测图像分割
早期发现的疾病很容易治愈。图像分割是对图像进行分割并产生信息以分析图像中的肿瘤的过程。现有的分割方法在分析图像和检测肿瘤上花费了较多的时间。在本文中,我们使用Xilinx核心IP生成器结合MATLAB对复杂图像进行简化,并从图像中提取有用信息来检测肿瘤。将Gabor滤波器与CORDIC算法结合使用,减少了存储空间;数据速率的提高和噪声从图像中去除。通过获得。从Xilinx获取的coe文件并应用于MATLAB将给出图像中肿瘤的百分比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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