A new FPGA Accelerator Based on Circular Buffer Unit Per Orientation for a Fast and Optimised GLCM and Texture Feature Computation

Mohamed Amin Ben Atitallah, R. Kachouri, H. Mnif
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Abstract

This paper presents an FPGA accelerator based on circular buffer unit per orientation for a fast and optimized Gray Level Co-occurrence Matrix (GLCM) and four Texture features computation. The Four texture features namely, contrast, energy, dissimilarity and correlation are computed using Xilinx FPGA. However, the computation of GLCM and four textures features are very complex and consume a lot of execution time. In this paper, an FPGA accelerator for fast computation of GLCM and four texture features are designed and implemented. This architecture was implemented on a Xilinx Zc-702 using Vivado HLS. The obtained results are then compared against other related works. The synthesis results on FPGA prove a significant gain (about 17%) in execution time compared to the previous work.
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基于每个方向圆形缓冲单元的新型FPGA加速器,用于快速优化GLCM和纹理特征计算
提出了一种基于每个方向圆形缓冲单元的FPGA加速器,用于快速优化灰度共生矩阵(GLCM)和四种纹理特征的计算。利用Xilinx FPGA计算纹理的对比度、能量、不相似度和相关性四种特征。然而,GLCM和四种纹理特征的计算非常复杂,耗费大量的执行时间。本文设计并实现了一种快速计算GLCM和四种纹理特征的FPGA加速器。该架构是在Xilinx Zc-702上使用Vivado HLS实现的。然后将得到的结果与其他相关工作进行比较。在FPGA上的合成结果表明,与以前的工作相比,执行时间显著增加(约17%)。
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