@inproceedings{95601d9bcf2b4aeab7d602401645b52e,
title = "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 = "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.",
keywords = "ADV7511, FPGA, Full-HD, Gray Scale, HDL, HDMI, IIC, RGB, Shape Recognition",
author = "Andre Borja and Felipe Toscano and Daniel Cardenas and Ramiro Taco and Lionel Trojman and Procel, {Luis Miguel}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE ANDESCON, ANDESCON 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ANDESCON50619.2020.9271986",
language = "Ingl{\'e}s",
series = "2020 IEEE ANDESCON, ANDESCON 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE ANDESCON, ANDESCON 2020",
}