720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm

Andre Borja; Felipe Toscano; Daniel Cardenas; Ramiro Taco; Lionel Trojman; Luis Miguel Procel

doi:10.1109/andescon50619.2020.9271986

720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm

Andre Borja, Felipe Toscano, Daniel Cardenas, Ramiro Taco, Lionel Trojman, Luis Miguel Procel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The present work implements and adapts a fast shape recognition algorithm on the Xilinx VC707 VIRTEX-7 FPGA platform for HD color images. The hardware design was developed to correctly implement the algorithm using hardware description language (HDL) and intellectual property blocks (IP). The necessary configurations, specific for the selected platform, were developed to obtain a video output for images in RGB 4:4:4 format with a color depth per pixel of 36 bits through an HDMI interface to display the resulting image from the application of the algorithm. The algorithm was successfully tested on images in 720p-HD resolution in black and white, grayscale, and color formats, although is able to process images of a maximum resolution of 1080p-60 full-HD. The system performance was optimal in all tests without requiring to modify the original algorithm despite variations in resolution or image format.

Original language	English
Title of host publication	2020 IEEE ANDESCON, ANDESCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193656
DOIs	https://doi.org/10.1109/andescon50619.2020.9271986
State	Published - 13 Oct 2020
Externally published	Yes
Event	2020 IEEE ANDESCON, ANDESCON 2020 - Quito, Ecuador Duration: 13 Oct 2020 → 16 Oct 2020

Publication series

Name	2020 IEEE ANDESCON, ANDESCON 2020

Conference

Conference	2020 IEEE ANDESCON, ANDESCON 2020
Country/Territory	Ecuador
City	Quito
Period	13/10/20 → 16/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

ADV7511
FPGA
Full-HD
Gray Scale
HDL
HDMI
IIC
RGB
Shape Recognition

Access to Document

10.1109/andescon50619.2020.9271986

Cite this

Borja, A., Toscano, F., Cardenas, D., Taco, R., Trojman, L., & Procel, L. M. (2020). 720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm. In 2020 IEEE ANDESCON, ANDESCON 2020 Article 9271986 (2020 IEEE ANDESCON, ANDESCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/andescon50619.2020.9271986

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abstract = "The present work implements and adapts a fast shape recognition algorithm on the Xilinx VC707 VIRTEX-7 FPGA platform for HD color images. The hardware design was developed to correctly implement the algorithm using hardware description language (HDL) and intellectual property blocks (IP). The necessary configurations, specific for the selected platform, were developed to obtain a video output for images in RGB 4:4:4 format with a color depth per pixel of 36 bits through an HDMI interface to display the resulting image from the application of the algorithm. The algorithm was successfully tested on images in 720p-HD resolution in black and white, grayscale, and color formats, although is able to process images of a maximum resolution of 1080p-60 full-HD. The system performance was optimal in all tests without requiring to modify the original algorithm despite variations in resolution or image format.",

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Borja, A, Toscano, F, Cardenas, D, Taco, R, Trojman, L & Procel, LM 2020, 720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm. in 2020 IEEE ANDESCON, ANDESCON 2020., 9271986, 2020 IEEE ANDESCON, ANDESCON 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE ANDESCON, ANDESCON 2020, Quito, Ecuador, 13/10/20. https://doi.org/10.1109/andescon50619.2020.9271986

720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm. / Borja, Andre; Toscano, Felipe; Cardenas, Daniel et al.
2020 IEEE ANDESCON, ANDESCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9271986 (2020 IEEE ANDESCON, ANDESCON 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Borja A, Toscano F, Cardenas D, Taco R, Trojman L, Procel LM. 720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm. In 2020 IEEE ANDESCON, ANDESCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9271986. (2020 IEEE ANDESCON, ANDESCON 2020). doi: 10.1109/andescon50619.2020.9271986

720p-HD Gray-scale and Color Images Shape Recognition System Implementation on an FPGA Platform with a 1080pFull-HD HDMI Interface using a Hu Moments Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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