Efficient Hardware Implementation of Morphological Reconstruction based on Sequential Reconstruction Algorithm

被引：4

作者：

Anacona-Mosquera, Oscar ^{[1
]}

Vinhal, Gustavo ^{[2
]}

Sampaio, Renato C. ^{[1
]}

Teodoro, George ^{[2
]}

Jacobi, Ricardo P. ^{[2
]}

Llanos, Carlos H. ^{[1
]}

机构：

[1] Univ Brasilia, Dept Mech Engn, Brasilia, DF, Brazil

[2] Univ Brasilia, Dept Comp Sci, Brasilia, DF, Brazil

来源：

2017 30TH SYMPOSIUM ON INTEGRATED CIRCUITS AND SYSTEMS DESIGN (SBCCI 2017): CHOP ON SANDS | 2017年

关键词：

IWPP; Sequential Reconstruction; FPGA; STRUCTURAL SIMILARITY;

D O I：

10.1145/3109984.3110020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work presents a hardware implementation of the morphological reconstruction algorithm for biomedical images analysis. The morphological reconstruction algorithm is based on the Sequential Reconstruction (SR). In this case, a hardware architecture has been developed and implemented by mapping the SR algorithm into an Altera Cyclone IV E FPGA based platform, including a NIOS II processor. The developed architecture has been described in VHDL language, and it is scalable for image sizes from 96 x 96 pixels to 288 x 288 pixels using a neighboring element of 3 x 3. The quality evaluation of the yielded images was achieved by using SR-SIM (Spectral Residual Based Similarity) metric, which has also been used for visual verification of the images.

引用

页码：162 / 167

页数：6

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