{"title":"Hardware implementation of Gabor filter for MRI using XSG","authors":"Anis Ladgham, A. Sakly, A. Mtibaa","doi":"10.1504/IJSISE.2016.078267","DOIUrl":null,"url":null,"abstract":"Feature extraction from images is an important stage for a recognition system. In this paper, we propose hardware architecture for the extraction of textural features from Magnetic Resonance Imaging (MRI) based on Gabor filter. The strength of Gabor filters in image processing is the similarity of their frequency and orientation representations to those of the human visual system. They are appropriate for texture representation and discrimination. The present architecture is developed using the Xilinx System Generator (XSG) and is implemented on Virtex-V Field Programmable Gate Array (FPGA). The implementation of our method on FPGA gives it the advantages of portability and real time extraction. The performances of the proposed method are demonstrated using a set of medical images.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"262"},"PeriodicalIF":0.6000,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078267","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Signal and Imaging Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSISE.2016.078267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Feature extraction from images is an important stage for a recognition system. In this paper, we propose hardware architecture for the extraction of textural features from Magnetic Resonance Imaging (MRI) based on Gabor filter. The strength of Gabor filters in image processing is the similarity of their frequency and orientation representations to those of the human visual system. They are appropriate for texture representation and discrimination. The present architecture is developed using the Xilinx System Generator (XSG) and is implemented on Virtex-V Field Programmable Gate Array (FPGA). The implementation of our method on FPGA gives it the advantages of portability and real time extraction. The performances of the proposed method are demonstrated using a set of medical images.
图像特征提取是识别系统的一个重要步骤。本文提出了一种基于Gabor滤波的核磁共振图像纹理特征提取硬件架构。Gabor滤波器在图像处理中的优势在于其频率和方向表示与人类视觉系统的相似。它们适用于纹理表示和区分。本架构是使用Xilinx System Generator (XSG)开发的,并在Virtex-V现场可编程门阵列(FPGA)上实现。该方法在FPGA上的实现使其具有可移植性和实时提取的优点。用一组医学图像验证了该方法的性能。