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

共 50 条

[31] Image Reconstruction using Compressive Sensing Technique for Hardware Implementation
Bujari, Santosh S.
Siddamal, Saroja V.
2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER, AND OPTIMIZATION TECHNIQUES (ICEECCOT - 2018), 2018, : 1042 - 1046
[32] Parallel MRI Reconstruction Algorithm Implementation on GPU
Shahzad, H.
Sadaqat, M. F.
Hassan, B.
Abbasi, W.
Omer, H.
APPLIED MAGNETIC RESONANCE, 2016, 47 (01) : 53 - 61
[33] Parallel MRI Reconstruction Algorithm Implementation on GPU
H. Shahzad
M. F. Sadaqat
B. Hassan
W. Abbasi
H. Omer
Applied Magnetic Resonance, 2016, 47 : 53 - 61
[34] An efficient hardware implementation of Smith-Waterman algorithm based on the incremental approach
Institute of Electronics, Silesian University of Technology, Gliwice, Poland
Int. J. Electron. Telecommun., 4 (489-496):
[35] Terahertz Imaging Based on Morphological Reconstruction
Shi, Jia
Wang, Yuye
Xu, Degang
Yan, Chao
Chen, Tunan
He, Yixin
Tang, Longhuang
Nie, Meitong
Duan, Pan
Yan, Dexian
Feng, Hua
Yao, Jianquan
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2017, 23 (04)
[36] An Efficient Hardware Implementation of Canny Edge Detection Algorithm
Sangeetha, D.
Deepa, P.
2016 29TH INTERNATIONAL CONFERENCE ON VLSI DESIGN AND 2016 15TH INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS (VLSID), 2016, : 457 - 462
[37] Contrast enhancement algorithm for infrared images based on multiscale difference of morphological reconstruction
Li, Yongsong
Li, Zhengzhou
Siddique, Abubakar
Liu, Yuchuan
OPTICS AND LASER TECHNOLOGY, 2025, 181
[38] Infrared small target detection algorithm based on morphological reconstruction operator and tracking
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150001, China
Tien Tzu Hsueh Pao, 2009, 4 (850-853):
[39] A Fast Image Dehazing Algorithm Using Morphological Reconstruction
Salazar-Colores, Sebastian
Cabal-Yepez, Eduardo
Ramos-Arreguin, Juan M.
Botella, Guillermo
Ledesma-Carrillo, Luis M.
Ledesma, Sergio
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28 (05) : 2357 - 2366
[40] An efficient algorithm for compressed sensing image reconstruction
Li, Zhi-Lin
Chen, Hou-Jin
Li, Ju-Peng
Yao, Chang
Yang, Na
Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2011, 39 (12): : 2796 - 2800

← 1 2 3 4 5 →